{"templateName":"quickstart-page-template","cssClassNames":"page basicpage summit-page","allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"language":"en","description":"Master Snowflake's GEOMETRY data type for geospatial analysis including energy grids, LTE coverage, and spatial queries.","title":"Geospatial Analysis using Geometry and Geography Data Type","analyticsPageType":"quickstart-page-template","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,":mappedPath":"/en/developers/guides/geo-analysis-geometry/",":type":"snowflake-site/components/structure/page",":items":{"root":{"columnClassNames":{"markup_editor_1950346551":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-banner":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-header":"aem-GridColumn aem-GridColumn--default--12","responsivegrid":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-footer":"aem-GridColumn aem-GridColumn--default--12","modal_container":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,":items":{"experiencefragment-banner":{"id":"experiencefragment-ce520599c9","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/pushdown-banner/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"pushdown_banner_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-704da008ef",":type":"snowflake-site/components/container",":items":{"pushdown_banner_copy":{"id":"pushdown-banner-353a6539c5","contentHeadline":"Snowflake World Tour hits your city","contentDescription":"See how leading teams deploy agents at scale. Find a stop near you. Register free.","contentJustifyContent":"center","linkStyle":"text-white","linkCTA":{"id":"link-cta","heapButtonClasses":["pushdown_banner"],"showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"/en/world-tour/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Register now"},":type":"snowflake-site/components/pushdown-banner","appliedCssClassNames":"snowflake-pushdown-banner-text-white snowflake-pushdown-banner-background-black"}},":itemsOrder":["pushdown_banner_copy"]},"image":{":type":"nt:unstructured"},"cq:metadata":{":type":"nt:unstructured"}},":itemsOrder":["root","image","cq:metadata"],"classNames":"aem-xf"},"experiencefragment-header":{"id":"experiencefragment-d397334465","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"mega_header":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-3c03f086ed",":type":"snowflake-site/components/container",":items":{"markup_editor":{"id":"markup-editor-2074a892e6","title":" ","cssContent":".footer-nav__link-group .snowflake-button-container,.subnav__item--button,.snowflake-card-v2-advanced-button .snowflake-button-container{justify-content:flex-start}.mega-nav__sign-in.snowflake-button-container{display:none}@media screen and (min-width:768px){.mega-nav__sign-in.snowflake-button-container{display:inline-block;font-family:'Texta',sans-serif;font-weight:800 !important}}@media screen and (min-width:1024px) and (max-width:1199px){.snowflake-mega-nav-header-buttons-container .snowflake-button-blue .snowflake-button-container{font-size:13px !important}.snowflake-language-navigation .language-icon{width:18px !important;height:18px !important;margin-right:4px !important}}.mega-nav__sign-in svg{display:none}.nav-item__platform-parent-why-sf.snowflake-mega-nav-nav-item\u003Ea:hover,.nav-item__platform-parent.snowflake-mega-nav-nav-item\u003Ea:hover{background-color:transparent !important}.nav-platform-sidebar .snowflake-mega-nav-nav-item:hover.blue-icon .snowflake-mega-nav-nav-item-icon__inner{background-color:var(--ui-01) !important}@media screen and (min-width:1024px){.snowflake-mega-nav-navigation-dropdown{overflow:hidden}.meganav-platform-features{padding-left:64px}.meganav-platform-features::before{content:'';transform:translateX(-64px);display:block;z-index:0;width:100%;height:100%;position:absolute;top:0;background:#f7f9fa}.nav-item--si.snowflake-mega-nav-nav-item\u003Ea:hover{background-color:transparent}.nav-item--si{border-bottom:1px solid #ccc;padding-bottom:16px;margin-bottom:8px}.nav-item__platform-parent{border-bottom:1px solid #ccc;margin-bottom:8px;padding-bottom:16px}.nav-item__platform-parent-why-sf .snowflake-mega-nav-nav-item-description::after{content:'What Snowflake can do for you \u003E';display:block;color:var(--ui-01);margin-top:16px}.nav-item__platform-parent .snowflake-mega-nav-nav-item-description::after{content:'View the platform \u003E';display:block;color:var(--ui-01);margin-top:16px}}@media screen and (min-width:1367px){.snowflake-mega-nav-nav-item-description{font-size:13px !important;line-height:20px !important}.snowflake-mega-nav-nav-item-title-wrapper\u003E.snowflake-mega-nav-nav-item-title{font-size:17px !important}.nav-item__platform-parent-why-sf .snowflake-mega-nav-nav-item-title,.nav-item__platform-parent .snowflake-mega-nav-nav-item-title{font-size:24px !important;line-height:32px !important;margin-bottom:8px !important}.nav-item__platform-parent-why-sf .snowflake-mega-nav-nav-item-description,.nav-item__platform-parent .snowflake-mega-nav-nav-item-description{font-size:14px !important;line-height:20px !important}}html.wf-texta-n9-loading .display-1-v2{font-size:48px!important;line-height:50px!important;letter-spacing:-.5px!important;font-family:sans-serif!important}html.wf-texta-n9-loading .heading-4-v2{font-size:18px!important;line-height:24px!important;font-family:sans-serif!important}@media screen and (min-width:768px){html.wf-texta-n9-loading .display-2-v2{font-size:48px!important;line-height:50px!important;font-family:sans-serif!important}html.wf-texta-n9-loading .display-1-v2{font-size:55.5px!important;line-height:54px!important;letter-spacing:-.5px!important;font-family:sans-serif!important}html.wf-lato-n4-loading .body-2,html.wf-lato-n4-loading .heading-5-v2,html.wf-lato-n4-loading .snowflake-card-v2-advanced-text .snowflake-text p{font-size:15.5px!important;font-family:sans-serif!important}html.wf-texta-n9-loading .heading-2,html.wf-texta-n9-loading .heading-2-v2{font-size:34px!important;line-height:38px!important;letter-spacing:-.75px!important;font-family:sans-serif!important}html.wf-texta-n8-loading .heading-6-v2.snowflake-mega-nav-navigation-title{font-size:13.5px!important;font-family:sans-serif!important}html.wf-texta-n8-loading .heading-4,html.wf-texta-n8-loading .snowflake-button-container,html.wf-texta-n8-loading .snowflake-button-regular .snowflake-button-container{font-size:13px!important;line-height:20px!important;letter-spacing:.25px!important;font-family:sans-serif!important}}@media screen and (min-width:1024px){html.wf-lato-n4-loading .snowflake-mega-nav-nav-item-description{font-size:11.5px!important;font-family:sans-serif!important}html.wf-lato-n4-loading .body-2,html.wf-lato-n4-loading .text-size-regular .snowflake-text li,html.wf-lato-n4-loading .text-size-regular .snowflake-text p,html.wf-lato-n4-loading .text-size-regular .snowflake-text span[data-testid=text-content],html.wf-lato-n4-loading .text-size-regular.cq-Editable-dom li,html.wf-lato-n4-loading .text-size-regular.cq-Editable-dom p,html.wf-lato-n4-loading .text-size-regular.cq-Editable-dom span[data-testid=text-content]{font-size:13.5px!important;font-family:sans-serif!important}html.wf-texta-n8-loading .snowflake-button-compact .snowflake-button-container{font-size:12px!important;letter-spacing:0!important;line-height:18px!important}}@media screen and (min-width:1367px){html.wf-lato-n4-loading .hp-hero__eyebrow a\u003Eb:first-child{font-size:11px!important;font-family:sans-serif!important}html.wf-texta-n8-loading .hp-hero__eyebrow a{font-size:13px!important;font-family:sans-serif!important}html.wf-texta-n9-loading .display-2-v2{font-size:61px!important;line-height:60px!important;font-family:sans-serif!important}html.wf-texta-n9-loading .display-1-v2{font-size:74.5px!important;line-height:74px!important;letter-spacing:-.75px!important;font-family:sans-serif!important}html.wf-texta-n9-loading .heading-2,html.wf-texta-n9-loading .heading-2-v2{font-size:41px!important;letter-spacing:-.75px!important;font-family:sans-serif!important}html.wf-texta-n9-loading .heading-3-v2{font-family:sans-serif!important;letter-spacing:-.75px!important;font-size:33.75px!important}html.wf-texta-n9-loading .heading-4-v2{font-size:19.5px!important;line-height:26px!important;font-family:sans-serif!important}html.wf-texta-n8-loading .heading-6-v2{font-size:12px!important;font-family:sans-serif!important}html.wf-texta-n8-loading .heading-6-v2.snowflake-mega-nav-navigation-title{font-size:14px!important;font-family:sans-serif!important}html.wf-lato-n4-loading .body-1,html.wf-lato-n4-loading .cq-Editable-dom[data-cq-data-path*=text] ol\u003Eli,html.wf-lato-n4-loading .snowflake-text li,html.wf-lato-n4-loading .snowflake-text p,html.wf-lato-n4-loading .text-size-large .snowflake-text li,html.wf-lato-n4-loading .text-size-large .snowflake-text p,html.wf-lato-n4-loading .text-size-large .snowflake-text span[data-testid=text-content],html.wf-lato-n4-loading .text-size-large.cq-Editable-dom li,html.wf-lato-n4-loading .text-size-large.cq-Editable-dom p,html.wf-lato-n4-loading .text-size-large.cq-Editable-dom span[data-testid=text-content],html.wf-lato-n4-loading.cq-Editable-dom[data-cq-data-path*=text]\u003Ep,html.wf-lato-n4-loading.cq-Editable-dom[data-cq-data-path*=text]\u003Eul\u003Eli{font-size:17.5px!important;font-family:sans-serif!important}html.wf-lato-n4-loading .body-2,html.wf-lato-n4-loading .text-size-regular .snowflake-text li,html.wf-lato-n4-loading .text-size-regular .snowflake-text p,html.wf-lato-n4-loading .text-size-regular .snowflake-text span[data-testid=text-content],html.wf-lato-n4-loading .text-size-regular.cq-Editable-dom li,html.wf-lato-n4-loading .text-size-regular.cq-Editable-dom p,html.wf-lato-n4-loading .text-size-regular.cq-Editable-dom span[data-testid=text-content],html.wf-texta-n8-loading .snowflake-button-link .snowflake-button-container,html.wf-texta-n8-loading .snowflake-button-link-back .snowflake-button-container{font-size:15.5px!important;font-family:sans-serif!important}html.wf-lato-n4-loading .body-3,html.wf-lato-n4-loading .text-size-small .snowflake-text li,html.wf-lato-n4-loading .text-size-small .snowflake-text p,html.wf-lato-n4-loading .text-size-small .snowflake-text span[data-testid=text-content],html.wf-lato-n4-loading .text-size-small.cq-Editable-dom li,html.wf-lato-n4-loading .text-size-small.cq-Editable-dom p,html.wf-lato-n4-loading .text-size-small.cq-Editable-dom span[data-testid=text-content]{font-size:13.5px!important;font-family:sans-serif!important}}#industryPlatformSection,.sc-hero{background-position:top left;background-size:20% auto}.bwalignc,.bwalignr{list-style-position:inside}.snowflake-text p sup{font-size:10px}#industryPlatformSection .industry-platform__row .snowflake-flexible-column-container-items,.button-group-pair\u003E.container\u003E.cmp-container\u003E.aem-container,.snowflake-hero-system-content-container{gap:16px}.agenda-item p,.button-group-pair\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.partner-details p{margin:0!important}.button-group-pair\u003E.container\u003E.cmp-container\u003E.aem-container::after,.button-group-pair\u003E.container\u003E.cmp-container\u003E.aem-container::before,.hide-logo .snowflake-case-study-card-logo,.partner-page__powered-by-logo,.sc-hero div.code-toolbar\u003E.toolbar,.snowflake-card-v2-advanced.no-link .snowflake-card-v2-advanced-button,.snowflake-partner-hero-card-badge-container{display:none!important}.section--card-mobile-carousel .snowflake-flexible-column-container-items-with-carousel{max-width:100%!important}@media screen and (min-width:768px){.button-group-pair .snowflake-button-container.inline-button--desktop,.button-group-pair\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:auto!important;display:inline-block!important}.button-group-pair\u003E.container\u003E.cmp-container\u003E.aem-container{align-items:center;justify-content:flex-start!important}.button-group-pair.center\u003E.container\u003E.cmp-container\u003E.aem-container{justify-content:center!important}.section--card-mobile-carousel{margin-left:var(--tablet-portrait-margin,48px)!important;margin-right:var(--tablet-portrait-margin,48px);width:calc(100% - 96px)!important;width:calc(100% - var(--tablet-portrait-margin) * 2)!important}}@media screen and (min-width:1024px){.section--card-mobile-carousel{margin-left:var(--tablet-horizontal-margin,48px)!important;margin-right:var(--tablet-horizontal-margin,48px);width:calc(100% - 96px)!important;width:calc(100% - var(--tablet-horizontal-margin) * 2)!important}.snowflake-mega-nav-header-mobile-icon{display:none!important}}@media screen and (min-width:1367px){.section--card-mobile-carousel{margin-left:var(--desktop-margin,6.5%)!important;margin-right:var(--desktop-margin,6.5%);width:87%!important;width:calc(100% - var(--desktop-margin) * 2)!important}.logo-container{min-width:143px}.sc-hero__headline .heading-1-v2{font-size:60px}.snowflake-mega-nav-navigation-title{font-size:17px}.snowflake-mega-nav-dropdown-footer-wrapper .snowflake-title-v2 .snowflake-title-v2-line:first-child{font-size:16px!important;line-height:24px!important}}.hero--home{overflow:hidden;background-color:var(--ui-01);z-index:2}.hp-hero__subheadline{width:90%}.hero--home .snowflake-button-container{transition:.3s}.hero--home .snowflake-button-primary a:hover,.hero--home .snowflake-button-secondary a:hover,.hero--home .snowflake-button-white a:hover{transition:.3s;background-color:var(--ui-02)!important;color:var(--ui-05)!important}.hero--home .snowflake-button-secondary a:hover{border-color:var(--ui-05)!important}.hero--home .snowflake-button-primary a:hover,.hero--home .snowflake-button-white a:hover{border-color:var(--ui-02)!important}.bwalignc,.hp-hero__eyebrow{text-align:center}.hp-hero__eyebrow a{display:inline-flex;flex-direction:column;justify-content:center;cursor:pointer;padding:8px;border-radius:var(--spacing-01);gap:8px;align-items:center;background-color:#45aee3;color:var(--ui-03);font-family:Texta,sans-serif;font-weight:800;font-size:16px;line-height:22px;transition:background-color .3s}.hp-hero__eyebrow a:hover{background-color:#7fc6ea;text-decoration:none;transition:background-color .3s}.hp-hero__eyebrow a\u003Eb:first-child{text-transform:uppercase;white-space:nowrap;display:inline-block;background-color:var(--ui-02);color:var(--ui-05);font-size:12px!important;line-height:16px!important;font-family:Lato,sans-serif;font-weight:500!important;padding:3px 6px;border-radius:2px;letter-spacing:1px}@media screen and (min-width:767px){.hp-hero__eyebrow{text-align:left}.hp-hero__eyebrow a{flex-direction:row;text-align:left}}.hero--home__inner .offset-video,.hero--home__inner .snowflake-experience-fragment,.offset-video__bg-image{max-height:200px;overflow:hidden}.hero--home__inner .offset-video .wistia-responsive-padding{padding-top:100%}.hero--home__inner .snowflake-experience-fragment,.offset-video__bg-image{position:absolute!important;top:0;left:0;width:100%}.offset-video__bg-image{z-index:-1}@media screen and (min-width:768px){.hero--home__inner .snowflake-experience-fragment,.offset-video,.offset-video__bg-image{position:absolute!important;max-height:none;top:0;left:0;width:250%;padding-bottom:250%;transform:translate(0,-50%);height:0}.workloads_7.unistore{max-width:317px}}.promo-banner--homepage{z-index:2}.homepage-banner-offset-container::after{content:\"\";display:block;position:absolute;bottom:0;z-index:1;left:0;width:100%;height:80%;background:#fff}.section--quicklinks .snowflake-button-full-width a{padding-left:24px!important;padding-right:24px!important;transition:box-shadow .25s cubic-bezier(.4,0,.2,1);text-align:left;display:flex;justify-content:center;align-items:center}.section--quicklinks .snowflake-button-full-width a:hover{box-shadow:0 16px 16px 0 rgb(0 0 0 / .16);transition:box-shadow .25s cubic-bezier(.4,0,.2,1)}.section--quicklinks .snowflake-button-container:focus-visible a::before,.section--quicklinks .snowflake-button-full-width a::before{content:\"\";width:23px;height:23px;flex-shrink:0;margin-right:12px;display:inline-block;background-size:cover;background-repeat:no-repeat;background-position:center}#industryPartnerSlider .snowflake-navigation-icon.swiper-button-disabled,#partnerResources .section--resource-hub a svg,.button-tabs span.snowflake-tabs-navigation-item:after,.customer-card--hide-cta .snowflake-case-study-card-button,.dot-tabs span.snowflake-tabs-navigation-item::after,.partner-sidebar__mobile-expand,html:not(.aem-AuthorLayer-initial):not(.aem-AuthorLayer-Edit) .tab-content:not(.is-active){display:none}.section--quicklinks .snowflake-button-full-width a.pricing::before{background-image:url(https://www.snowflake.com/content/dam/snowflake-site/general/icons/decorative-icons/pricing-icon.svg)}.section--quicklinks .snowflake-button-full-width a.snowflake_on_snowflake::before{background-image:url(https://www.snowflake.com/content/dam/snowflake-site/general/icons/navigation/nav-icon_snowflake-bug.svg)}.section--quicklinks .snowflake-button-full-width a.virtual_hands_on_labs::before{background-image:url(https://www.snowflake.com/content/dam/snowflake-site/general/icons/navigation/nav-icon__training.svg)}.section--quicklinks .snowflake-button-full-width a.weekly_demo::before{background-image:url(https://www.snowflake.com/content/dam/snowflake-site/general/icons/navigation/nav-icon__webinars.svg)}@media screen and (min-width:1024px){.hero--home__inner .snowflake-experience-fragment,.offset-video,.offset-video__bg-image{left:-50%}.section--quicklinks .snowflake-flexible-column-container-items{gap:24px}.snowflake-quote-item-inner{padding:32px 24px 24px!important}}#communitiesOuter_overflowBottomGray::after{max-height:100px}#caseStudyOuter_overflowBottomMidBlue::after{max-height:180px}#caseStudyInner .snowflake-case-study-card .snowflake-wistia-video{border-radius:0!important}#caseStudyInner .snowflake-case-study-card{box-shadow:none!important;border-radius:0}#caseStudyInner{max-width:1200px;margin:0 auto;box-shadow:rgb(152 162 179 / .1) 0 10px 20px 0,rgb(152 162 179 / .25) 0 2px 6px 0;border-radius:8px;overflow:hidden;position:relative;z-index:1}.case-study__logo-bar\u003E.snowflake-flexible-column-container-items{background:#f7f9fa;padding:32px 16px 40px}.case-study__logo-bar .cmp-image__image{width:90%;margin:0 auto;max-width:240px}.hp-platform__text-group\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:not(:first-child),.sc-sidebar__group .snowflake-button-link{margin-top:8px}.workloads_7.unistore{margin-left:auto;margin-right:auto}#homepageFootnotesInner .snowflake-simple-stat-disclaimer .snowflake-text p{color:#fff!important}.snowflake-simple-stat-disclaimer .snowflake-text p\u003Ea{border-bottom:1px solid var(--ui-03);color:var(--text-03)}.snowflake-card-v2-advanced{color:inherit}#workloadCardGridOuter .snowflake-card-v2-base-front{gap:0}.video-modal.snowflake-modal-window-open-inner{background-color:#fff0;padding:8px;border:none}.snowflake-container-arrow-dotted-faded .snowflake-container-arrow-dotted-faded-image{width:40%!important;max-width:420px;top:4%!important}.list--blue-bullets ul{margin:0!important;padding:0!important;list-style-type:none}.list--blue-bullets li{margin:0;padding:0 0 0 32px;position:relative}.list--blue-bullets li::before{content:\"\";display:block;border-radius:100%;background:#29b5e8;width:18px;height:18px;position:absolute;top:4px;left:0;border:5px solid #e5f2f7;box-sizing:border-box}.list--blue-bullets li:not(:last-child){margin-bottom:1rem}.logo-tabs .snowflake-navigation-container,.snowflake-simple-stat-content:empty,.summit-speaker-card .snowflake-card-v2-advanced-text{margin-bottom:0}#techResourceInner,#techResourceOuter,div.overflow-bottom--blue,div.overflow-bottom--gray,div.overflow-bottom--mid-blue,div.overflow-bottom--white,div.overflow-top--blue,div.overflow-top--gray,div.overflow-top--mid-blue,div.overflow-top--white,div[id$=overflowBottomGray],div[id$=overflowBottomMidBlue],div[id$=overflowTopBlue],div[id$=overflowTopGray]{position:relative}div.overflow-bottom--blue::after,div.overflow-bottom--gray::after,div.overflow-bottom--mid-blue::after,div.overflow-bottom--white::after,div.overflow-top--blue::after,div.overflow-top--gray::after,div.overflow-top--mid-blue::after,div.overflow-top--white::after,div[id$=overflowBottomGray]::after,div[id$=overflowBottomMidBlue]::after,div[id$=overflowBottomWhite]::after,div[id$=overflowTopBlue]::after,div[id$=overflowTopGray]::after,div[id$=overflowTopWhite]::after{content:\"\";display:block;position:absolute;left:0;width:100%;height:40%}div.overflow-top--blue::after,div.overflow-top--gray::after,div.overflow-top--mid-blue::after,div.overflow-top--white::after,div[id$=overflowTopBlue]::after,div[id$=overflowTopGray]::after,div[id$=overflowTopWhite]::after{top:0}div.overflow-bottom--blue::after,div.overflow-bottom--gray::after,div.overflow-bottom--mid-blue::after,div.overflow-bottom--white::after,div[id$=overflowBottomGray]::after,div[id$=overflowBottomMidBlue]::after,div[id$=overflowBottomWhite]::after{bottom:0}div.overflow-bottom--white::after,div.overflow-top--white::after,div[id$=overflowBottomWhite]::after,div[id$=overflowTopWhite]::after{background:#fff!important}div.overflow-bottom--gray::after,div.overflow-top--gray::after,div[id$=overflowBottomGray]::after,div[id$=overflowTopGray]::after{background:#f6f9fa!important}div.overflow-bottom--mid-blue::after,div.overflow-top--mid-blue::after,div[id$=overflowBottomMidBlue]::after,div[id$=overflowTopMidBlue]::after{background:#11567f!important}div.overflow-bottom--blue::after,div.overflow-top--blue::after,div[id$=overflowBottomBlue]::after,div[id$=overflowTopBlue]::after{background:#259edc!important}.snowflake-premium-content-banner.promo-banner--no-shadow{box-shadow:none!important}#industryPartnerSlider .cmp-image__image,#industryPartnerSlider .section--partner-tabs .snowflake-image-container .cmp-image__image,#partnerSidebar,.has-shadow .cmp-image__image{box-shadow:0 10px 20px 0 rgb(152 162 179 / .1),0 2px 6px 0 rgb(152 162 179 / .25)}.content-chip--has-desc{align-items:flex-start;padding:20px!important}.content-chip--has-desc .snowflake-content-chip-image{max-width:100px}.content-chip--has-desc .snowflake-content-chip-image__image{aspect-ratio:1}.content-chip--has-desc .snowflake-title-v2-line:first-child{font-size:18px!important}.content-chip--has-desc .snowflake-title-v2-line:nth-child(2){color:#000!important;font-weight:500!important;font-size:16px!important;line-height:22px!important;margin-top:2px!important}.content-chip--has-desc .snowflake-content-chip-button{margin-top:6px!important;font-size:18px!important;display:none}.square-image .snowflake-content-chip-image{aspect-ratio:1;max-width:120px}.section--logo-bar.smaller-logos .snowflake-image-container .cmp-image__image{max-width:200px;margin:0 auto}.snowflake-card-v2-advanced-tag,.snowflake-content-chip-tag{padding:3px 6px!important}.sc-overview__webinar-promo-banner .snowflake-content-chip-button,.snowflake-card-v2-advanced-title:first-child,.summit-pricing-block__aside ul{margin-top:0}.dot-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item{width:40px;height:40px;display:flex;justify-content:center;align-items:center;margin:0!important}.dot-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item p{width:12px;height:12px;background:var(--ui-12);border-radius:100%}.dot-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item p,.logo-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item p{font-size:0!important}.dot-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item.active p{background:var(--ui-01)}.button-tabs .snowflake-navigation-container .swiper-wrapper{padding:8px 0}.button-tabs .snowflake-navigation-container .swiper-slide{margin:0 6px}.button-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item{padding:8px 24px;background-color:#f6f9fa;border-radius:48px;margin:0}.button-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item p{text-transform:uppercase;font-family:Texta,sans-serif;font-weight:700}.button-tabs .border-top{border-top:1px solid #ccc}.button-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item.active{background-color:var(--ui-01);box-shadow:0 2px 6px 0 rgb(152 162 179 / .25),0 10px 20px 0 rgb(152 162 179 / .1)}.button-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item.active p{color:#fff}.button-tabs.has-icons .snowflake-navigation-container .snowflake-tabs-navigation-item p::before{content:\"\";display:inline-block;width:20px;height:20px;background-size:contain;background-repeat:no-repeat;background-position:center center;margin-right:12px;vertical-align:middle;margin-top:-3px}.logo-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item{width:220px;padding-bottom:50%;height:0;margin:0 8px!important;background-size:cover;background-repeat:no-repeat;opacity:.5;transition:opacity .3s}.logo-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item:hover{opacity:.75;transition:opacity .3s}.logo-tabs .snowflake-navigation-container .snowflake-tabs-navigation-item.active{opacity:1;transition:opacity .3s}.dot-tabs .aem-container.cmp-tabs,.logo-tabs .aem-container.cmp-tabs{display:flex;flex-direction:column-reverse}.snowflake-icon.is-center{margin:0 auto;display:block}#industryPartnerSlider .snowflake-flexible-column-container-items,#partnerLogoSquare .snowflake-flexible-column-container-items{gap:24px}#techResourceOuter::after{content:\"\";display:block;position:absolute;top:0;left:0;width:100%;height:40%;background:#f6f9fa}#techResourceInner{z-index:1}.partner-tier-tag h6{display:inline-block!important;padding:2px 6px;border-radius:2px;color:#666}.partner-tier-tag.registered h6{background-color:#f6f9fa}.partner-tier-tag.elite h6{background-color:#11567f;color:#fff}.partner-tier-tag.premier h6{background-color:#b14c77;color:#fff}.partner-tier-tag.select h6{background-color:#5094a0;color:#fff}.partner-details\u003Espan{display:flex;gap:24px}.partner-details a{color:inherit!important;font-weight:400!important}.partner-details p::before{content:\"\";display:inline-block;vertical-align:middle;width:16px;height:16px;background-repeat:no-repeat;background-position:center;transform:translateY(-1px);background-size:auto 90%;margin-right:6px}.partner-details__location::before{background-image:url(\"data:image/svg+xml,%3Csvg width='13' height='18' viewBox='0 0 13 18' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M6.25 17.7531C6.4375 17.7531 6.6 17.6844 6.7375 17.5531C6.875 17.4219 6.95 17.2531 6.95 17.0531C6.95 16.8531 7.075 16.4281 7.3 15.7969C7.5875 15.0281 7.925 14.3156 8.30625 13.6406C8.8 12.7781 9.3125 12.1031 9.85 11.6094C10.75 10.7969 11.4125 9.96563 11.85 9.12188C12.2875 8.27813 12.5063 7.40313 12.5063 6.49063C12.5063 5.36563 12.2187 4.31563 11.6437 3.33438C11.0937 2.40313 10.3438 1.65938 9.4 1.10938C8.43125 .534376 7.375 .246876 6.24375 .246876C5.1125 .246876 4.06875 .534376 3.0875 1.10938C2.15625 1.65938 1.4125 2.40313 .862498 3.33438C.287498 4.31563 0 5.36563 0 6.49063C0 7.47188 .262499 8.42813 .787499 9.35938C1.14375 10.0031 1.65625 10.6656 2.3125 11.3344C2.75625 11.8031 3.24375 12.4781 3.78125 13.3656C4.225 14.0969 4.63125 14.8594 5 15.6656C5.35 16.3844 5.53125 16.8531 5.55625 17.0656C5.55625 17.2594 5.625 17.4156 5.7625 17.5531C5.9 17.6844 6.0625 17.7531 6.25 17.7531ZM6.16875 14.9156C5.775 14.0656 5.325 13.2469 4.825 12.4594C4.275 11.5594 3.7625 10.8719 3.28125 10.3969C2.625 9.71563 2.1375 9.05938 1.825 8.43438C1.5125 7.80313 1.35625 7.16563 1.35625 6.50313C1.35625 5.61563 1.575 4.80313 2.0125 4.05313C2.45 3.30313 3.04375 2.71563 3.7875 2.27813C4.5375 1.84063 5.35 1.62188 6.2375 1.62188C7.125 1.62188 7.9375 1.84063 8.6875 2.27813C9.4375 2.71563 10.0312 3.30313 10.475 4.04688C10.9187 4.80313 11.1375 5.62188 11.1375 6.50313C11.1375 7.90313 10.3937 9.26563 8.9125 10.5969C8.35 11.1094 7.8125 11.7906 7.3 12.6406C6.88125 13.3344 6.50625 14.0969 6.16875 14.9219V14.9156ZM6.26875 8.36563C6.65625 8.36563 7.01875 8.26563 7.35625 8.07188C7.69375 7.87813 7.95625 7.60938 8.14375 7.28438C8.3375 6.95313 8.43125 6.59063 8.43125 6.19688C8.43125 5.80313 8.33125 5.43438 8.1375 5.10313C7.9375 4.76563 7.675 4.50313 7.3375 4.31563C7 4.12813 6.6375 4.02813 6.24375 4.02813C5.85 4.02813 5.4875 4.12813 5.15625 4.32188C4.825 4.52188 4.56875 4.78438 4.375 5.12188C4.18125 5.45938 4.0875 5.82188 4.0875 6.20938C4.0875 6.59688 4.1875 6.95938 4.38125 7.29688C4.58125 7.63438 4.84375 7.89688 5.18125 8.08438C5.51875 8.27813 5.88125 8.37188 6.26875 8.37188V8.36563ZM6.24375 7.50313C5.8875 7.50313 5.575 7.37188 5.31875 7.11563C5.0625 6.85938 4.93125 6.55313 4.93125 6.19063C4.93125 5.82813 5.0625 5.52188 5.31875 5.26563C5.575 5.00938 5.88125 4.87813 6.24375 4.87813C6.60625 4.87813 6.9125 5.00938 7.16875 5.26563C7.425 5.52188 7.55625 5.82813 7.55625 6.19063C7.55625 6.55313 7.425 6.85938 7.16875 7.11563C6.9125 7.37188 6.60625 7.50313 6.24375 7.50313Z' fill='%2329B5E8'/%3E%3C/svg%3E%0A\")}.partner-details__website::before{background-image:url(\"data:image/svg+xml,%3Csvg width='18' height='16' viewBox='0 0 18 16' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M2.61587 2.96889C2.61587 2.75109 2.79633 2.57062 3.01413 2.57062C3.23192 2.57062 3.41238 2.75109 3.41238 2.96889C3.41238 3.18669 3.23192 3.36716 3.01413 3.36716C2.79633 3.36716 2.61587 3.18669 2.61587 2.96889ZM4.21512 2.96889C4.21512 2.75109 4.39558 2.57062 4.61338 2.57062C4.83117 2.57062 5.01163 2.75109 5.01163 2.96889C5.01163 3.18669 4.83117 3.36716 4.61338 3.36716C4.39558 3.36716 4.21512 3.18669 4.21512 2.96889ZM5.81438 2.96889C5.81438 2.75109 5.99484 2.57062 6.21264 2.57062C6.43043 2.57062 6.61089 2.75109 6.61089 2.96889C6.61089 3.18669 6.43043 3.36716 6.21264 3.36716C5.99484 3.36716 5.81438 3.18669 5.81438 2.96889ZM17.2518 .697559H1.19085C.811258 .697559 .506348 1.0025 .506348 1.38209V14.6179C.506348 14.9975 .811258 15.3024 1.19085 15.3024H17.2518C17.6314 15.3024 17.9363 14.9975 17.9363 14.6179V1.38209C17.9363 1.0025 17.6314 .697559 17.2518 .697559ZM16.5673 2.06035V3.90853H1.86914V2.06035H16.5673ZM1.86914 13.9334V4.78593H16.5673V13.9334H1.86914Z' fill='%2329B5E8'/%3E%3C/svg%3E%0A\")}#partnerSidebar{border-radius:4px;background-color:#fff;padding:24px 24px 32px;border-bottom:6px solid #29b5e8}#partnerSidebar h5,.newsletter-disclaimer p{font-size:14px!important}#partnerSidebar ul{margin-top:0;list-style-type:none;padding:0;display:flex;flex-wrap:wrap;gap:8px}#partnerSidebar li{border:1px solid;border-radius:2px;padding:0 4px!important;font-size:11px!important;letter-spacing:.25px;text-transform:uppercase}div.snowflake-partner-hero-card{width:100%;margin:0}.partner-details__logo{max-width:380px;margin:0 auto}@media screen and (max-width:767px){.left-alignment .hp-hero__subheadline{margin-left:auto;margin-right:auto}.left-alignment .hp-hero__headline .snowflake-title-v2-line,.left-alignment .hp-hero__subheadline .snowflake-title-v2-line{text-align:center}.hero--home__inner .snowflake-flexible-column-container-items-top-padding-large{padding-top:var(--spacing-02)}.section--logo-bar\u003E.snowflake-flexible-column-container-items{display:flex;flex-wrap:wrap;flex-direction:row;justify-content:center;gap:8px}.section--logo-bar\u003E.snowflake-flexible-column-container-items\u003Ediv{width:calc(33.33% - 8px)}.partner-sidebar__mobile-expand{display:inline-block;color:#249edc;border-color:#249edc!important}#partnerSidebar li:nth-child(n+6),.summit-nav__links .snowflake-button-tertiary{display:none}.sc-body__sidebar{background-color:#f6f9fa;padding:24px}.sc-body__content{padding:0 24px 24px}.summit-speaker-card .snowflake-card-v2-advanced-content{padding:24px}}#partnerResources h6,.snowflake-tabs-navigation-item p.body-1{font-size:16px!important}#partnerResources .section--resource-hub{padding:0 16px}#partnerResources .section--resource-hub a,.bwalignl{text-align:left}@media screen and (max-width:1023px){.hero--workload .snowflake-hero-system-media-container{width:100%}}.section--timely-content .snowflake-content-chip,.snowflake-mega-nav-dropdown-footer-wrapper{align-items:center}.section--timely-content .snowflake-content-chip-image{max-width:94px}.section--timely-content .snowflake-content-chip-image__inner{line-height:0}.section--timely-content .snowflake-content-chip-image__image{aspect-ratio:1;height:auto}.section--workload-overview .workload-overview__headline{max-width:280px;margin:0 auto}#industryPartnerSlider .swiper-slide{margin-top:0!important;padding:0 12px}#industryPartnerSlider .snowflake-tabs-navigation-item{margin-left:0!important;margin-right:0!important}#industryPartnerSlider .snowflake-premium-content-banner-background-grad-white .snowflake-premium-content-banner{box-shadow:none}#industryPartnerSlider .logo-slider__slide .aem-container{display:flex;padding:0 8px!important;flex-wrap:wrap;gap:16px!important;justify-content:center}#industryPartnerSlider .logo-slider__slide .aem-container\u003Ediv{width:48%;max-width:200px}#useCaseTabs{padding-top:24px;padding-bottom:24px;padding-right:24px}#useCaseTabs .tab-content.is-active{display:block}#useCaseTabs .vert-tab{border-bottom:1px solid #a0bbcc;padding-bottom:16px}#useCaseTabs .vert-tab p{display:inline-block}#useCaseTabs .vert-tab p:hover{cursor:pointer}#useCaseTabs .vert-tab p,#useCaseTabs .vert-tab.is-active p.not-active{color:#249edc}#useCaseTabs .vert-tab p.is-active,#useCaseTabs .vert-tab.is-active p{color:#000}#industryPlatformSection{background-image:url(/adobe/dynamicmedia/deliver/dm-aid--db074ad5-7122-4c51-87a3-76c3aa466182/double-arrow-bg%403x.png);background-repeat:no-repeat}.snowflake-text p.featured-quote__source{font-weight:900!important;text-transform:uppercase;font-size:16px!important;margin-top:2rem!important}.snowflake-text p.featured-quote__title{margin-top:0!important;font-size:16px!important}.snowflake-case-study-card-logo img{width:auto!important;height:100px!important;transform:translateX(-15%)}.snowflake-quote-item-quote-text{font-weight:600!important}#customerStoryStatsInner\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-direction:row}#customerStoryStat1,#customerStoryStat2{max-width:240px}#storyHighlights{border-radius:4px;padding:1rem}.sc-overview__webinar-promo-banner .snowflake-content-chip-content .snowflake-title-v2-line,.summit-pricing-block__tile .black-blue-text-color .snowflake-title-v2-line{color:#000!important}.snowflake-youtube-embedded-wrapper{border-radius:var(--small-border-radius)}#arcticNavItem::before,#offset::before,#open-source::before{color:var(--text-05);font-family:Texta,sans-serif!important}#offset,.sc-architecture-caption{margin-top:16px}.hero--press .snowflake-title-v2-line{text-transform:none!important}@media screen and (min-width:768px){.subpage-timely-content__inner\u003E.snowflake-flexible-column-container-items{box-shadow:0 10px 20px 0 rgb(152 162 179 / .1),0 2px 6px 0 rgb(152 162 179 / .25);padding:var(--spacing-04);border-radius:4px;overflow:hidden}#partnerLogoSquare{padding:0 0 0 48px}.hero--workload .snowflake-container{max-width:1440px;margin:0 auto!important;align-items:center}#industryPartnerSlider.snowflake-flexible-column-container-2-column-40-60\u003E.snowflake-flexible-column-container-items{grid-template-columns:minmax(40%,4fr) minmax(0,6fr)}#industryPartnerSlider .swiper-slide{padding:0 24px}.sc-body{padding:48px}.sc-body\u003E.snowflake-flexible-column-container-items{grid-template-columns:7fr 3fr;gap:124px}}.snowflake-button-container.has-icon{display:inline-flex;justify-content:center;align-items:center;text-align:left}.snowflake-button-container.has-icon::before{content:\"\";display:inline-block;width:20px;height:20px;margin-right:12px;background-size:contain;background-repeat:no-repeat;background-position:center}.snowflake-button-container.is-video::before{background-image:url(\"data:image/svg+xml,%3Csvg width='18' height='18' viewBox='0 0 18 18' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M9 1.28663C13.2523 1.28663 16.7134 4.74768 16.7134 9C16.7134 13.2523 13.2523 16.7134 9 16.7134C4.74768 16.7198 1.28663 13.2588 1.28663 9C1.28663 4.74124 4.74768 1.28663 9 1.28663ZM9 0C4.0336 0 0 4.0336 0 9C0 13.9664 4.0336 18 9 18C13.9728 18 18 13.9664 18 9C18 4.0336 13.9728 0 9 0Z' fill='white'/%3E%3Cpath d='M7.75106 6.18211C7.42941 6.16925 7.16565 6.42658 7.16565 6.74823V11.2772C7.16565 11.7082 7.65457 11.9848 8.02126 11.7597L11.7975 9.4952C12.1578 9.27647 12.1578 8.74252 11.7975 8.52379L8.02126 6.25931C7.93763 6.21428 7.84756 6.18211 7.75106 6.18211Z' fill='white'/%3E%3C/svg%3E%0A\")}.snowflake-button-container.is-github::before{background-image:url(\"data:image/svg+xml,%3Csvg width='20' height='21' viewBox='0 0 20 21' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 .651794C4.475 .651794 0 5.12679 0 10.6518C0 15.0768 2.8625 18.8143 6.8375 20.1393C7.3375 20.2268 7.525 19.9268 7.525 19.6643C7.525 19.4268 7.5125 18.6393 7.5125 17.8018C5 18.2643 4.35 17.1893 4.15 16.6268C4.0375 16.3393 3.55 15.4518 3.125 15.2143C2.775 15.0268 2.275 14.5643 3.1125 14.5518C3.9 14.5393 4.4625 15.2768 4.65 15.5768C5.55 17.0893 6.9875 16.6643 7.5625 16.4018C7.65 15.7518 7.9125 15.3143 8.2 15.0643C5.975 14.8143 3.65 13.9518 3.65 10.1268C3.65 9.03929 4.0375 8.13929 4.675 7.43929C4.575 7.18929 4.225 6.16429 4.775 4.78929C4.775 4.78929 5.6125 4.52679 7.525 5.81429C8.325 5.58929 9.175 5.47679 10.025 5.47679C10.875 5.47679 11.725 5.58929 12.525 5.81429C14.4375 4.51429 15.275 4.78929 15.275 4.78929C15.825 6.16429 15.475 7.18929 15.375 7.43929C16.0125 8.13929 16.4 9.02679 16.4 10.1268C16.4 13.9643 14.0625 14.8143 11.8375 15.0643C12.2 15.3768 12.5125 15.9768 12.5125 16.9143C12.5125 18.2518 12.5 19.3268 12.5 19.6643C12.5 19.9268 12.6875 20.2393 13.1875 20.1393C17.1375 18.8143 20 15.0643 20 10.6518C20 5.12679 15.525 .651794 10 .651794Z' fill='%23249EDC'/%3E%3C/svg%3E%0A\")}.snowflake-button-container.is-quickstart::before{background-image:url(\"data:image/svg+xml,%3Csvg width='15' height='21' viewBox='0 0 15 21' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M13.8489 2.79368H11.6439V2.38493C11.6439 1.71368 11.1451 .967427 10.4251 .967427H8.94762C8.80887 .359927 8.37387 .299927 7.89762 .299927H7.23012C6.85512 .299927 6.26637 .299927 6.08637 .967427H4.68387C3.94887 .967427 3.35637 1.74368 3.35637 2.38493V2.79368H1.15137C.738867 2.79368 .401367 3.13118 .401367 3.54368V20.2537C.401367 20.6662 .738867 21.0037 1.15137 21.0037H13.8489C14.2614 21.0037 14.5989 20.6662 14.5989 20.2537V3.54368C14.5989 3.13118 14.2614 2.79368 13.8489 2.79368ZM4.29387 2.38493C4.29387 2.18243 4.54137 1.90493 4.68387 1.90493H6.50262C6.76137 1.90493 6.97137 1.69493 6.97137 1.43618C6.97137 1.33868 6.97887 1.27868 6.98637 1.24118C7.05012 1.23368 7.15512 1.23368 7.23387 1.23368H7.90137C7.95012 1.23368 8.00637 1.23368 8.05137 1.23368C8.05512 1.27868 8.05887 1.34243 8.05887 1.43243C8.05887 1.69118 8.26887 1.90118 8.52762 1.90118H10.4289C10.5301 1.90118 10.7101 2.14493 10.7101 2.38118V2.78993H4.29762V2.38118L4.29387 2.38493ZM13.0989 19.4999H1.90137V4.29368H13.0989V19.5037V19.4999Z' fill='%23249EDC'/%3E%3Cpath d='M3.82512 16.0424H11.1751C11.4339 16.0424 11.6439 15.8324 11.6439 15.5736V6.88486C11.6439 6.62611 11.4339 6.41611 11.1751 6.41611H3.82512C3.56637 6.41611 3.35637 6.62611 3.35637 6.88486V15.5736C3.35637 15.8324 3.56637 16.0424 3.82512 16.0424ZM4.29387 15.1049V13.3686H10.7064V15.1049H4.29387ZM10.7101 7.35361V12.4311H4.29762V7.35361H10.7101Z' fill='%23249EDC'/%3E%3Cpath d='M6.16512 9.35989H8.83887C9.09762 9.35989 9.30762 9.14989 9.30762 8.89114C9.30762 8.63239 9.09762 8.42239 8.83887 8.42239H6.16512C5.90637 8.42239 5.69637 8.63239 5.69637 8.89114C5.69637 9.14989 5.90637 9.35989 6.16512 9.35989Z' fill='%23249EDC'/%3E%3Cpath d='M6.16512 11.3624H8.83887C9.09762 11.3624 9.30762 11.1524 9.30762 10.8937C9.30762 10.6349 9.09762 10.4249 8.83887 10.4249H6.16512C5.90637 10.4249 5.69637 10.6349 5.69637 10.8937C5.69637 11.1524 5.90637 11.3624 6.16512 11.3624Z' fill='%23249EDC'/%3E%3C/svg%3E%0A\")}.snowflake-button-container.is-download::before{background-image:url(\"data:image/svg+xml,%3Csvg width='16' height='18' viewBox='0 0 16 18' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M15.2017 17.1637H.798265C.364425 17.1637 0 16.7993 0 16.3655V12.3568C0 11.923 .364425 11.5585 .798265 11.5585C1.2321 11.5585 1.59653 11.923 1.59653 12.3568V15.5498H14.4035V12.3568C14.4035 11.923 14.7679 11.5585 15.2017 11.5585C15.6356 11.5585 16 11.923 16 12.3568V16.3655C16 16.7993 15.6529 17.1637 15.2017 17.1637Z' fill='%23249EDC'/%3E%3Cpath d='M7.94793 12.9642C7.84381 12.9642 7.73969 12.9468 7.63557 12.8947C7.34056 12.7733 7.14967 12.4783 7.14967 12.1485L7.18437 .938127C7.18437 .504287 7.5488 .139862 7.98264 .139862C8.41648 .139862 8.7809 .504287 8.7809 .938127L8.7462 10.257L12.8416 6.33509C13.154 6.02273 13.6746 6.04008 13.9696 6.35244C14.282 6.66481 14.2646 7.18542 13.9523 7.48043L8.50325 12.7386C8.36442 12.8774 8.15617 12.9642 7.94793 12.9642Z' fill='%23249EDC'/%3E%3Cpath d='M7.94793 12.9642C7.73969 12.9642 7.54881 12.8947 7.39262 12.7386L2.03037 7.53249C1.718 7.22012 1.70065 6.71687 2.01301 6.40451C2.32538 6.09214 2.82863 6.07479 3.141 6.38715L8.50325 11.5932C8.81562 11.9056 8.83297 12.4088 8.52061 12.7212C8.36442 12.8774 8.15617 12.9642 7.94793 12.9642Z' fill='%23249EDC'/%3E%3C/svg%3E%0A\")}.snowflake-button-container.is-expand::before{background-image:url(\"data:image/svg+xml,%3Csvg width='18' height='18' viewBox='0 0 18 18' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M6.64375 10.9125C6.9375 11.2062 6.93125 11.6812 6.64375 11.9687L2.57502 16H3.79375C4.20625 16 4.54376 16.3375 4.54376 16.75C4.54376 17.1625 4.20625 17.5 3.79375 17.5H.756264C.556264 17.5 .36876 17.4187 .22501 17.2812C.22501 17.2812 .206248 17.25 .193748 17.2375C.143748 17.1812 .100004 17.1125 .0625038 17.0437C.0375038 16.9687 .0187492 16.8937 .0187492 16.8187C.0187492 16.8 .0062561 16.7813 .0062561 16.7625V13.725C.0187561 13.3125 .356257 12.9875 .768757 12.9937C1.16876 13 1.48752 13.325 1.50002 13.725V14.9688L5.5875 10.9187C5.88125 10.6312 6.35 10.6312 6.64375 10.9187V10.9125ZM17.5063 .743732C17.5063 .543732 17.425 .356235 17.2875 .218735C17.2875 .218735 17.2562 .199998 17.2437 .193748C17.1875 .137498 17.1188 .0937347 17.0438 .0624847C16.9688 .0374847 16.8938 .0187492 16.8188 .0187492C16.8 .0187492 16.7813 .00623703 16.7625 .00623703H13.725C13.3125 .00623703 12.975 .343745 12.975 .756245C12.975 1.16874 13.3125 1.50623 13.725 1.50623H14.9688L11.1312 5.37498C10.8437 5.67498 10.8563 6.14999 11.1563 6.43124C11.45 6.71249 11.9063 6.70624 12.1938 6.43124L16.0125 2.575V3.79375C16.0125 4.20625 16.35 4.54372 16.7625 4.54372C17.175 4.54372 17.5125 4.20625 17.5125 3.79375V.756245L17.5063 .743732ZM16.7562 12.9688C16.3437 12.9688 16.0063 13.3063 16.0063 13.7188V14.8937L12.1938 10.925C11.9063 10.625 11.4375 10.6188 11.1375 10.9063C10.8375 11.1938 10.8313 11.6625 11.1188 11.9625L15 16.0062H13.7188C13.3063 16.0062 12.9688 16.3437 12.9688 16.7562C12.9688 17.1687 13.3063 17.5063 13.7188 17.5063H16.7562C16.85 17.5063 16.95 17.4875 17.0375 17.45C17.0875 17.425 17.1313 17.3937 17.175 17.3625C17.2063 17.3437 17.2438 17.325 17.275 17.3C17.3313 17.2375 17.375 17.1687 17.4125 17.1C17.4188 17.0875 17.4375 17.075 17.4438 17.0562C17.45 17.025 17.4563 16.9938 17.4625 16.9625C17.4813 16.9 17.5 16.8375 17.5 16.7687V13.725C17.5 13.3125 17.1687 12.975 16.7562 12.975V12.9688ZM.750008 4.53125C1.16251 4.53125 1.50002 4.19374 1.50002 3.78124V2.5L5.59376 6.43124C5.89376 6.71874 6.36251 6.70626 6.65001 6.41251C6.93751 6.11876 6.92501 5.64375 6.63126 5.35625L2.61251 1.49998H3.7875C4.2 1.49998 4.53751 1.16249 4.53751 .749989C4.53751 .337489 4.2 0 3.7875 0H.743752C.668752 0 .600004 .0187355 .531254 .0437355C.506254 .0499855 .481263 .0437477 .462513 .0562477C.443763 .0687477 .425015 .0812462 .406265 .0937462C.337515 .124996 .275004 .168741 .218754 .224991H.212498C.212498 .224991 .175 .28125 .15625 .3125C.11875 .3625 .0812477 .4125 .0562477 .46875C.0374977 .525 .0249992 .587499 .0187492 .643749C.0124992 .674999 0 .712482 0 .743732V3.78124C0 4.19374 .337508 4.53125 .750008 4.53125Z' fill='white'/%3E%3C/svg%3E%0A\")}@keyframes slow-scroll{100%{transform:translateY(-50%)}}.sc-hero{overflow:hidden;background-color:#212d35;background-repeat:repeat-y;background-image:url(\"data:image/svg+xml,%3Csvg width='389' height='17' viewBox='0 0 389 17' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M.638672 7.80824L.638672 9.2566C.638672 9.52364 .85538 9.74024 1.12262 9.74024H2.57204C2.83928 9.74024 3.05598 9.52364 3.05598 9.2566V7.80824C3.05598 7.54119 2.83928 7.32472 2.57204 7.32472L1.12262 7.32472C.85538 7.32472 .638672 7.54119 .638672 7.80824Z' fill='url(%23paint0_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10.9639 7.80824V9.2566C10.9639 9.52364 11.1806 9.74024 11.4478 9.74024L12.8972 9.74024C13.1645 9.74024 13.3812 9.52364 13.3812 9.2566V7.80824C13.3812 7.54119 13.1645 7.32471 12.8972 7.32471L11.4478 7.32471C11.1806 7.32471 10.9639 7.54119 10.9639 7.80824Z' fill='url(%23paint1_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M21.2891 7.80823V9.2566C21.2891 9.52364 21.5058 9.74024 21.773 9.74024L23.2224 9.74024C23.4897 9.74024 23.7064 9.52364 23.7064 9.2566V7.80823C23.7064 7.54119 23.4897 7.32471 23.2224 7.32471L21.773 7.32471C21.5058 7.32471 21.2891 7.54119 21.2891 7.80823Z' fill='url(%23paint2_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M31.6143 7.80823V9.2566C31.6143 9.52364 31.831 9.74024 32.0982 9.74024H33.5476C33.8149 9.74024 34.0316 9.52364 34.0316 9.2566V7.80823C34.0316 7.54119 33.8149 7.32471 33.5476 7.32471L32.0982 7.32471C31.831 7.32471 31.6143 7.54119 31.6143 7.80823Z' fill='url(%23paint3_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M41.9395 7.80823V9.2566C41.9395 9.52364 42.1562 9.74024 42.4234 9.74024H43.8728C44.1401 9.74024 44.3568 9.52364 44.3568 9.2566V7.80823C44.3568 7.54119 44.1401 7.32471 43.8728 7.32471L42.4234 7.32471C42.1562 7.32471 41.9395 7.54119 41.9395 7.80823Z' fill='url(%23paint4_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M52.5076 7.80823V9.2566C52.5076 9.52364 52.7243 9.74024 52.9916 9.74024H54.441C54.7082 9.74024 54.9249 9.52364 54.9249 9.2566V7.80823C54.9249 7.54119 54.7082 7.32471 54.441 7.32471L52.9916 7.32471C52.7243 7.32471 52.5076 7.54119 52.5076 7.80823Z' fill='url(%23paint5_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M62.8331 7.80823V9.2566C62.8331 9.52364 63.0493 9.74024 63.3165 9.74024H64.7664C65.0332 9.74024 65.2504 9.52364 65.2504 9.2566V7.80823C65.2504 7.54119 65.0332 7.32471 64.7664 7.32471L63.3165 7.32471C63.0493 7.32471 62.8331 7.54119 62.8331 7.80823Z' fill='url(%23paint6_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M73.1583 7.80823V9.2566C73.1583 9.52364 73.3745 9.74024 73.6417 9.74024H75.0916C75.3584 9.74024 75.5756 9.52364 75.5756 9.2566V7.80823C75.5756 7.54119 75.3584 7.32471 75.0916 7.32471L73.6417 7.32471C73.3745 7.32471 73.1583 7.54119 73.1583 7.80823Z' fill='url(%23paint7_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M83.4835 7.80823V9.2566C83.4835 9.52364 83.6997 9.74024 83.9669 9.74024H85.4168C85.6836 9.74024 85.9008 9.52364 85.9008 9.2566V7.80823C85.9008 7.54119 85.6836 7.32471 85.4168 7.32471L83.9669 7.32471C83.6997 7.32471 83.4835 7.54119 83.4835 7.80823Z' fill='url(%23paint8_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M93.8087 7.80823V9.2566C93.8087 9.52364 94.0249 9.74024 94.2921 9.74024H95.742C96.0088 9.74024 96.226 9.52364 96.226 9.2566V7.80823C96.226 7.54119 96.0088 7.32471 95.742 7.32471L94.2921 7.32471C94.0249 7.32471 93.8087 7.54119 93.8087 7.80823Z' fill='url(%23paint9_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M104.134 7.80823V9.2566C104.134 9.52364 104.35 9.74024 104.617 9.74024H106.067C106.334 9.74024 106.551 9.52364 106.551 9.2566V7.80823C106.551 7.54119 106.334 7.32471 106.067 7.32471L104.617 7.32471C104.35 7.32471 104.134 7.54119 104.134 7.80823Z' fill='url(%23paint10_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M114.702 7.80823V9.2566C114.702 9.52364 114.918 9.74024 115.185 9.74024L116.635 9.74024C116.902 9.74024 117.119 9.52364 117.119 9.25659V7.80823C117.119 7.54119 116.902 7.32471 116.635 7.32471L115.185 7.32471C114.918 7.32471 114.702 7.54119 114.702 7.80823Z' fill='url(%23paint11_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M125.027 7.80823V9.25659C125.027 9.52364 125.243 9.74024 125.511 9.74024L126.961 9.74024C127.227 9.74024 127.445 9.52364 127.445 9.25659V7.80823C127.445 7.54119 127.227 7.32471 126.961 7.32471L125.511 7.32471C125.243 7.32471 125.027 7.54119 125.027 7.80823Z' fill='url(%23paint12_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M135.352 7.80823V9.25659C135.352 9.52364 135.569 9.74024 135.836 9.74024H137.286C137.553 9.74024 137.77 9.52364 137.77 9.25659V7.80823C137.77 7.54119 137.553 7.32471 137.286 7.32471L135.836 7.32471C135.569 7.32471 135.352 7.54119 135.352 7.80823Z' fill='url(%23paint13_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M145.678 7.80823V9.25659C145.678 9.52364 145.894 9.74024 146.161 9.74024H147.611C147.878 9.74024 148.095 9.52364 148.095 9.25659V7.80823C148.095 7.54119 147.878 7.32471 147.611 7.32471L146.161 7.32471C145.894 7.32471 145.678 7.54119 145.678 7.80823Z' fill='url(%23paint14_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M156.003 7.80823V9.25659C156.003 9.52364 156.219 9.74024 156.486 9.74024H157.936C158.203 9.74024 158.42 9.52364 158.42 9.25659V7.80823C158.42 7.54119 158.203 7.32471 157.936 7.32471L156.486 7.32471C156.219 7.32471 156.003 7.54119 156.003 7.80823Z' fill='url(%23paint15_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M166.328 7.80823V9.25659C166.328 9.52363 166.544 9.74024 166.811 9.74024H168.261C168.528 9.74024 168.745 9.52363 168.745 9.25659V7.80823C168.745 7.54119 168.528 7.32471 168.261 7.32471L166.811 7.32471C166.544 7.32471 166.328 7.54119 166.328 7.80823Z' fill='url(%23paint16_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M176.896 7.80823V9.25659C176.896 9.52363 177.112 9.74023 177.38 9.74023H178.83C179.096 9.74023 179.313 9.52363 179.313 9.25659V7.80823C179.313 7.54119 179.096 7.32471 178.83 7.32471L177.38 7.32471C177.112 7.32471 176.896 7.54119 176.896 7.80823Z' fill='url(%23paint17_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M187.221 7.80823V9.25659C187.221 9.52363 187.438 9.74023 187.705 9.74023H189.155C189.421 9.74023 189.639 9.52363 189.639 9.25659V7.80823C189.639 7.54119 189.421 7.32471 189.155 7.32471L187.705 7.32471C187.438 7.32471 187.221 7.54119 187.221 7.80823Z' fill='url(%23paint18_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M199.639 7.80824V9.2566C199.639 9.52364 199.855 9.74024 200.123 9.74024H201.572C201.839 9.74024 202.056 9.52364 202.056 9.2566V7.80824C202.056 7.54119 201.839 7.32472 201.572 7.32472L200.123 7.32472C199.855 7.32472 199.639 7.54119 199.639 7.80824Z' fill='url(%23paint19_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M209.964 7.80824V9.2566C209.964 9.52364 210.181 9.74024 210.448 9.74024L211.897 9.74024C212.164 9.74024 212.381 9.52364 212.381 9.2566V7.80824C212.381 7.54119 212.164 7.32471 211.897 7.32471L210.448 7.32471C210.181 7.32471 209.964 7.54119 209.964 7.80824Z' fill='url(%23paint20_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M220.289 7.80823V9.2566C220.289 9.52364 220.506 9.74024 220.773 9.74024L222.222 9.74024C222.49 9.74024 222.706 9.52364 222.706 9.2566V7.80823C222.706 7.54119 222.49 7.32471 222.222 7.32471L220.773 7.32471C220.506 7.32471 220.289 7.54119 220.289 7.80823Z' fill='url(%23paint21_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M230.614 7.80823V9.2566C230.614 9.52364 230.831 9.74024 231.098 9.74024H232.548C232.815 9.74024 233.032 9.52364 233.032 9.2566V7.80823C233.032 7.54119 232.815 7.32471 232.548 7.32471L231.098 7.32471C230.831 7.32471 230.614 7.54119 230.614 7.80823Z' fill='url(%23paint22_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M240.939 7.80823V9.2566C240.939 9.52364 241.156 9.74024 241.423 9.74024H242.873C243.14 9.74024 243.357 9.52364 243.357 9.2566V7.80823C243.357 7.54119 243.14 7.32471 242.873 7.32471L241.423 7.32471C241.156 7.32471 240.939 7.54119 240.939 7.80823Z' fill='url(%23paint23_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M251.508 7.80823V9.2566C251.508 9.52364 251.724 9.74024 251.992 9.74024H253.441C253.708 9.74024 253.925 9.52364 253.925 9.2566V7.80823C253.925 7.54119 253.708 7.32471 253.441 7.32471L251.992 7.32471C251.724 7.32471 251.508 7.54119 251.508 7.80823Z' fill='url(%23paint24_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M261.833 7.80823V9.2566C261.833 9.52364 262.049 9.74024 262.317 9.74024H263.766C264.033 9.74024 264.25 9.52364 264.25 9.2566V7.80823C264.25 7.54119 264.033 7.32471 263.766 7.32471L262.317 7.32471C262.049 7.32471 261.833 7.54119 261.833 7.80823Z' fill='url(%23paint25_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M272.158 7.80823V9.2566C272.158 9.52364 272.374 9.74024 272.642 9.74024H274.092C274.358 9.74024 274.576 9.52364 274.576 9.2566L274.576 7.80823C274.576 7.54119 274.358 7.32471 274.092 7.32471L272.642 7.32471C272.374 7.32471 272.158 7.54119 272.158 7.80823Z' fill='url(%23paint26_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M282.483 7.80823V9.2566C282.483 9.52364 282.7 9.74024 282.967 9.74024H284.417C284.684 9.74024 284.901 9.52364 284.901 9.2566V7.80823C284.901 7.54119 284.684 7.32471 284.417 7.32471L282.967 7.32471C282.7 7.32471 282.483 7.54119 282.483 7.80823Z' fill='url(%23paint27_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M292.809 7.80823L292.809 9.2566C292.809 9.52364 293.025 9.74024 293.292 9.74024H294.742C295.009 9.74024 295.226 9.52364 295.226 9.2566V7.80823C295.226 7.54119 295.009 7.32471 294.742 7.32471L293.292 7.32471C293.025 7.32471 292.809 7.54119 292.809 7.80823Z' fill='url(%23paint28_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M303.134 7.80823L303.134 9.2566C303.134 9.52364 303.35 9.74024 303.617 9.74024H305.067C305.334 9.74024 305.551 9.52364 305.551 9.2566V7.80823C305.551 7.54119 305.334 7.32471 305.067 7.32471L303.617 7.32471C303.35 7.32471 303.134 7.54119 303.134 7.80823Z' fill='url(%23paint29_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M313.702 7.80823L313.702 9.2566C313.702 9.52364 313.918 9.74024 314.185 9.74024L315.635 9.74024C315.902 9.74024 316.119 9.52364 316.119 9.25659V7.80823C316.119 7.54119 315.902 7.32471 315.635 7.32471L314.185 7.32471C313.918 7.32471 313.702 7.54119 313.702 7.80823Z' fill='url(%23paint30_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M324.027 7.80823V9.25659C324.027 9.52364 324.243 9.74024 324.511 9.74024L325.961 9.74024C326.227 9.74024 326.445 9.52364 326.445 9.25659V7.80823C326.445 7.54119 326.227 7.32471 325.961 7.32471L324.511 7.32471C324.243 7.32471 324.027 7.54119 324.027 7.80823Z' fill='url(%23paint31_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M334.352 7.80823V9.25659C334.352 9.52364 334.569 9.74024 334.836 9.74024H336.286C336.553 9.74024 336.77 9.52364 336.77 9.25659L336.77 7.80823C336.77 7.54119 336.553 7.32471 336.286 7.32471L334.836 7.32471C334.569 7.32471 334.352 7.54119 334.352 7.80823Z' fill='url(%23paint32_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M344.678 7.80823V9.25659C344.678 9.52364 344.894 9.74024 345.161 9.74024H346.611C346.878 9.74024 347.095 9.52364 347.095 9.25659L347.095 7.80823C347.095 7.54119 346.878 7.32471 346.611 7.32471L345.161 7.32471C344.894 7.32471 344.678 7.54119 344.678 7.80823Z' fill='url(%23paint33_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M355.003 7.80823V9.25659C355.003 9.52364 355.219 9.74024 355.486 9.74024H356.936C357.203 9.74024 357.42 9.52364 357.42 9.25659L357.42 7.80823C357.42 7.54119 357.203 7.32471 356.936 7.32471L355.486 7.32471C355.219 7.32471 355.003 7.54119 355.003 7.80823Z' fill='url(%23paint34_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M365.328 7.80823V9.25659C365.328 9.52363 365.544 9.74024 365.811 9.74024H367.261C367.528 9.74024 367.745 9.52363 367.745 9.25659V7.80823C367.745 7.54119 367.528 7.32471 367.261 7.32471L365.811 7.32471C365.544 7.32471 365.328 7.54119 365.328 7.80823Z' fill='url(%23paint35_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M375.896 7.80823V9.25659C375.896 9.52363 376.112 9.74023 376.38 9.74023H377.83C378.096 9.74023 378.313 9.52363 378.313 9.25659V7.80823C378.313 7.54119 378.096 7.32471 377.829 7.32471L376.38 7.32471C376.112 7.32471 375.896 7.54119 375.896 7.80823Z' fill='url(%23paint36_linear_8295_70635)'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M386.221 7.80823V9.25659C386.221 9.52363 386.438 9.74023 386.705 9.74023H388.155C388.421 9.74023 388.639 9.52363 388.639 9.25659V7.80823C388.639 7.54119 388.421 7.32471 388.155 7.32471L386.705 7.32471C386.438 7.32471 386.221 7.54119 386.221 7.80823Z' fill='url(%23paint37_linear_8295_70635)'/%3E%3Cdefs%3E%3ClinearGradient id='paint0_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint1_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint2_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint3_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint4_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint5_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint6_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint7_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint8_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint9_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint10_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint11_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint12_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint13_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint14_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint15_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint16_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint17_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint18_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint19_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint20_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint21_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint22_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint23_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint24_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint25_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint26_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint27_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint28_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint29_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint30_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint31_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint32_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint33_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint34_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint35_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint36_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3ClinearGradient id='paint37_linear_8295_70635' x1='-47.5' y1='8.99989' x2='332' y2='8.99989' gradientUnits='userSpaceOnUse'%3E%3Cstop stop-color='%2329B5E8' stop-opacity='.8'/%3E%3Cstop offset='1' stop-color='%2329B5E8' stop-opacity='0'/%3E%3C/linearGradient%3E%3C/defs%3E%3C/svg%3E%0A\")}.sc-hero__inner\u003E.snowflake-flexible-column-container-items\u003Ediv:first-child{position:relative;z-index:3}.sc-hero__inner\u003E.snowflake-flexible-column-container-items\u003Ediv:last-child{position:absolute;height:100%;width:100%;top:0;left:-24px}.sc-hero__inner\u003E.snowflake-flexible-column-container-items\u003Ediv:last-child::before{content:\"\";display:block;z-index:1;position:absolute;top:-64px;left:0;width:150%;height:calc(100% + 160px);background-color:rgb(32 44 53 / .9)}.sc-body__content .heading-3-v2,.sc-hero__headline .heading-1-v2{text-transform:none}.sc-body__content span.snowflake-image-caption{display:block!important;font-style:italic}.sc-body__content .snowflake-text p+ul{margin-top:24px!important;padding-left:16px!important}.white-blue-text-color .snowflake-title-v2.solution-center-hero__certification .snowflake-typographyv2\u003Espan.snowflake-title-v2-line{color:#e9eaeb!important;font-size:16px}.white-blue-text-color .snowflake-title-v2.solution-center-hero__certification.is-large .snowflake-typographyv2\u003Espan.snowflake-title-v2-line{color:#fff!important;font-size:18px}.solution-center-hero__certification\u003E.snowflake-title-v2-line\u003Espan:first-child{display:flex;justify-content:flex-start;align-items:center;gap:8px}.solution-center-hero__certification\u003E.snowflake-title-v2-line\u003Espan:first-child::before{content:\"\";display:inline-block;width:16px;height:16px;background-image:url(\"data:image/svg+xml,%3Csvg width='16' height='16' viewBox='0 0 16 16' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M8 0C3.58146 0 0 3.58146 0 8C0 12.4185 3.58146 16 8 16C12.4185 16 16 12.4185 16 8C16 3.58146 12.4185 0 8 0ZM12.7184 5.91984L7.33471 11.3026C7.31293 11.3244 7.31293 11.3454 7.29198 11.3454L7.20653 11.4308C6.94933 11.688 6.54132 11.7525 6.21962 11.6235C6.11238 11.5808 6.00514 11.5163 5.9197 11.4308L5.83425 11.3454C5.83425 11.3454 5.83425 11.3236 5.81246 11.3236L3.28149 8.79347C2.93799 8.44997 2.93799 7.87107 3.28149 7.50664L3.36694 7.42119C3.71044 7.07769 4.28934 7.07769 4.65377 7.42119L6.58401 9.35143L11.3877 4.5477C11.7312 4.2042 12.3101 4.2042 12.6746 4.5477L12.76 4.63315C13.0826 4.99758 13.0828 5.55541 12.7184 5.91984Z' fill='%230E8A16'/%3E%3C/svg%3E%0A\");background-size:contain;background-repeat:no-repeat;background-color:#fff;border-radius:100%}.sc-hero__byline{padding-top:8px}.sc-hero__byline p{color:#e2e2e2;margin-top:0!important}.sc-hero pre[class*=language-]{overflow:visible}.snowflake-code-snippet,.snowflake-code-snippet code,.snowflake-code-snippet pre{font-size:16px}.sc-hero__code-snippet:not(pre)\u003Ecode[class*=language-],.sc-hero__code-snippet pre[class*=language-]{background:0 0}.sc-hero__code-snippet{opacity:.8;background-color:transparent!important;position:absolute;top:0;right:0;width:100%;animation:240s linear 1s forwards slow-scroll}.sc-hero__button-container .snowflake-flexible-column-container-items{padding:0 0 24px;margin-top:-8px;margin-left:24px}.sc-sidebar__partner-logo{width:100%;max-width:140px;margin-top:8px}.sc-sidebar__partner-logo .cmp-image__image{border-radius:0}.sc-tag-cluster.snowflake-text ul{list-style-type:none;padding:0;display:flex;flex-wrap:wrap;gap:8px;margin:0}.sc-tag-cluster.snowflake-text li{color:#373f41;border-radius:4px;display:inline-block;padding:6px;text-transform:uppercase;letter-spacing:1px;font-size:12px!important;line-height:12px!important;margin:0!important;background-color:#f3f3f3}.sc-body .share-icon svg{height:24px;cursor:pointer}.sc-body .share-icon svg:hover path{fill:var(--ui-02)}.sc-overview__webinar-promo-banner{align-items:center;border:1px solid #ccc;padding:var(--spacing-02)}.sc-overview__webinar-promo-banner .snowflake-content-chip-image{max-width:32px;margin-right:var(--spacing-02);line-height:0}.sc-overview__webinar-promo-banner .snowflake-content-chip-image__image,.summit-speaker-card .snowflake-card-v2-advanced-image__image{aspect-ratio:1}.sc-overview__webinar-promo-banner .snowflake-content-chip-content .heading-5-v2{font-size:14px;font-family:Lato,sans-serif}.sc-overview__webinar-promo-banner .snowflake-content-chip-content .snowflake-title-v2-line:not(:first-child){font-weight:400}.sc-overview__webinar-promo-banner .snowflake-content-chip-button .snowflake-button-container{font-size:14px!important}.diagram-group__button{position:absolute;bottom:24px;right:24px;background-color:#212c35!important}.section--mountains-bottom,.summit-hp-hero{position:relative}.sc-cert-banner{background-color:#212d35;border-radius:8px;padding:24px;overflow:hidden}.sc-cert-banner\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-direction:row;align-items:center}:root{--text-secondary:#706f6f;--summit-bg-ltblue:#eaf8fd;--summit-bg-blue:#249edc;--summit-border:#d2d1d4;--summit-border-radius:8px;--summit-card-padding:32px;--summit-card-padding-sm:28px}.section--mountains-bottom::after,.section--mountains-bottom::before{content:\"\";display:block;position:absolute;bottom:-1px;max-width:400px;background-size:100% auto;height:100%;width:30%;line-height:0;background-repeat:no-repeat}.button-group\u003E.container\u003E.cmp-container\u003E.aem-container{justify-content:center;align-items:center}.button-group\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:auto!important;margin:0 8px!important}.button-group .snowflake-button-container{font-family:Texta,sans-serif}.section--summit-bg-ltblue{background-color:var(--summit-bg-ltblue)}.section--summit-bg-blue,.summit-hero-secondary{background-color:var(--summit-bg-blue)}.section--mountains-bottom::before{left:0;background-image:url(\"data:image/svg+xml,%3Csvg width='402' height='309' viewBox='0 0 402 309' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M401.523 308.761H0V0L181.63 182.431L228.479 135.531L401.523 308.761Z' fill='%23249EDC'/%3E%3C/svg%3E%0A\");background-position:bottom left}.section--mountains-bottom::after{right:0;background-image:url(\"data:image/svg+xml,%3Csvg width='402' height='309' viewBox='0 0 402 309' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M0 308.761H401.523V0L219.893 182.431L173.044 135.531L0 308.761Z' fill='%23249EDC'/%3E%3C/svg%3E%0A\");background-position:bottom right}.summit-hp-hero{overflow:hidden}.summit-hero__bg-video{position:absolute;top:50%;left:50%;width:120%;height:100%;opacity:.3;transform:translate(-50%,-50%)}.summit-hero__bg-svg,.summit-prefooter__bg-image,.summit-secondary-hero__bg-image{position:absolute;bottom:0;left:0;width:100%}.summit-hp-promo-banner__headline .heading-4-v2{font-weight:900}.summit-hero-secondary .hero-lottie__left{position:absolute;bottom:0;left:0;width:30%;line-height:0}.summit-timeline__card::after,.summit-timeline__card::before{bottom:0;left:50%;position:absolute;display:block;background-color:var(--ui-01);content:\"\"}.summit-hero-secondary .snowflake-text p{font-size:24px!important;line-height:32px!important;max-width:720px;margin:0 auto}.summit-stat-container\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;justify-content:center}.summit-stat-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:auto!important;max-width:25%}.summit-stat-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:not(:last-child){border-right:1px solid #fff}.summit-timeline__card{border:1px solid var(--summit-border);border-radius:var(--summit-border-radius);padding:var(--summit-card-padding);position:relative;background-color:#fff}.summit-timeline__card::before{width:20px;height:20px;border-radius:100%;transform:translate(-50%,50%)}.summit-timeline__card::after{width:3px;height:50px;transform:translate(-50%,100%)}.summit-timeline-card__icon{width:48px;height:48px}.summit-timeline-card__headline .heading-3-v2{font-size:32px}.faq-group{border:1px solid var(--ui-12);border-radius:4px;background-color:#fff}.faq-group__question{padding:24px}.faq-group__question:hover{color:var(--ui-01);cursor:pointer}.faq-group__question .heading-4-v2,.faq-group__question .heading-5-v2{position:relative;padding-right:64px}.faq-group__question .heading-4-v2::after,.faq-group__question .heading-5-v2::after{content:\"\";display:block;width:32px;height:32px;background-image:url(\"data:image/svg+xml,%3Csvg width='29' height='16' viewBox='0 0 29 16' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M14.16 14.6807C14.2537 14.7957 14.3719 14.8884 14.506 14.952C14.64 15.0157 14.7866 15.0487 14.935 15.0487C15.0834 15.0487 15.2299 15.0157 15.3639 14.952C15.498 14.8884 15.6162 14.7957 15.71 14.6807V14.6807L28.51 2.00068C29.07 1.43068 29.07 .92068 28.51 .44068C27.95 -.0393204 27.43 -.11932 26.96 .44068L14.94 12.0007L2.99996 .45068C2.90725 .322624 2.7855 .218374 2.6447 .146483C2.50389 .0745926 2.34805 .0371094 2.18996 .0371094C2.03187 .0371094 1.87603 .0745926 1.73522 .146483C1.59442 .218374 1.47267 .322624 1.37996 .45068C.819961 .93068 .819961 1.45068 1.37996 2.01068L14.16 14.6807Z' fill='black'/%3E%3C/svg%3E%0A\");background-size:80% auto;background-repeat:no-repeat;background-position:center;position:absolute;top:-2px;right:0;transition:.3s 150ms}.faq-group__question .heading-5-v2::after{top:-4px}.faq-group__answer{max-height:0;overflow:hidden;width:95%;padding:0 24px;transition:.5s}.faq-group__answer\u003Espan{display:block;padding-bottom:24px}.is-open .faq-group__answer{max-height:600px;transition:1s}.is-open .faq-group__question .heading-4-v2::after,.is-open .faq-group__question .heading-5-v2::after{transform:rotate(180deg);transition:.3s}.summit-agenda{box-shadow:2px 4px 10px 0 rgb(156 156 156 / .52);border-radius:8px;background-color:#fff;max-width:980px;margin-left:auto;margin-right:auto;padding:40px;width:90%}.agenda-item{border-radius:8px;background-color:#d4f0fa;padding:16px;border-left:4px solid var(--ui-01);position:relative}.summit-pricing-block__tile.is-past,.summit-pricing-block__tile.is-upcoming{pointer-events:none;border-color:#d2d1d4}p.agenda-item__time{width:25%;font-family:Texta!important;font-size:32px!important;font-weight:900!important;text-transform:uppercase!important;max-width:140px}@media screen and (max-width:991px){#partnerResources .section--resource-hub .snowflake-button-link .snowflake-button-container{font-size:14px!important;line-height:20px!important;margin-top:4px}#industryPartnerSlider\u003E.snowflake-flexible-column-container-items{display:flex;flex-direction:column}#industryPartnerSlider\u003E.snowflake-flexible-column-container-items\u003Ediv{width:100%}.sc-cert-banner__left{text-align:center}.sc-cert-banner__left .solution-center-hero__certification .snowflake-title-v2-line{justify-content:center}.summit-hero__bg-video{width:200%}.summit-leadership-grid .snowflake-flexible-column-container-items{grid-template-columns:repeat(2,1fr)}.summit-stat-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:50%!important;max-width:50%!important}.summit-stat-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:not(:last-child){border-right:none!important}.summit-agenda{padding:24px}p.agenda-item__time{font-size:24px!important;width:auto;white-space:nowrap;padding-right:24px}}.agenda-item\u003Espan{display:flex;align-items:center}.summit-add-on-block,.summit-pricing-block{border:1px solid #d2d1d4;border-radius:8px;overflow:hidden;box-shadow:2px 4px 10px 0 rgb(156 156 156 / .52);background-color:#fff}.summit-add-on-block__content,.summit-pricing-block__content{padding:0 20px 20px}.summit-pricing-block__tile{padding:24px 20px;border-radius:4px;background:#fff;border:1px solid var(--ui-01);position:relative;transition:background-color .3s}.summit-pricing-block__tile:hover{background-color:var(--ui-01);transition:background-color .3s}.summit-pricing-block__tile.is-past{background-color:#d4f0fa}.summit-pricing-block__tile:hover .black-blue-text-color .snowflake-title-v2-line{color:#fff!important;transition:color .3s}.partner-card__logo-grid\u003E.container\u003E.cmp-container\u003E.aem-container::after,.partner-card__logo-grid\u003E.container\u003E.cmp-container\u003E.aem-container::before,.summit-add-on-block__content\u003E.container\u003E.cmp-container\u003E.aem-container::after,.summit-add-on-block__content\u003E.container\u003E.cmp-container\u003E.aem-container::before,.summit-pricing-block__tile.is-past .snowflake-content-chip-button,.summit-pricing-block__tile.is-upcoming .snowflake-content-chip-button,.summit-speaker-card .snowflake-card-v2-advanced-tag-indicator{display:none}.summit-pricing-block__tile.is-past .black-blue-text-color .snowflake-title-v2-line{color:#7cc7eb!important}.summit-pricing-block__tile.is-upcoming .black-blue-text-color .snowflake-title-v2-line{color:#8c8c8c!important}.summit-pricing-block__aside{background-color:#d4f0fa;border:1px solid #d2d1d4;border-radius:8px;padding:24px;width:100%}.summit-pricing-block__aside li::marker{color:var(--ui-01)}.summit-pricing-block__aside-headline .heading-5-v2{font-weight:900;margin-bottom:12px}.summit-pricing-block__header{background:#000;padding:24px 40px}.summit-pricing-block__header .heading-4-v2{font-weight:900;letter-spacing:.5px}.bwwidth100,.snowflake-mega-nav-dropdown-footer-content,.summit-pricing-block__tile .black-blue-text-color{width:100%}.summit-pricing-block__tile .heading-5-v2{position:static}.summit-pricing-block__tile .heading-5-v2 span.snowflake-title-v2-line:first-child{text-transform:uppercase;font-weight:900!important;letter-spacing:.25px;font-size:24px!important}.summit-pricing-block__tile .heading-5-v2 span.snowflake-title-v2-line:nth-child(2){margin-top:8px;font-family:Lato,sans-serif;font-size:14px;font-style:normal;font-weight:400;line-height:16px}.summit-pricing-block__tile .heading-5-v2 span.snowflake-title-v2-line:last-child{font-weight:900!important;font-size:40px!important}.snowflake-mega-nav-nav-item\u003Ea:hover .snowflake-mega-nav-nav-item-title-wrapper\u003E.snowflake-mega-nav-nav-item-title,.summit-pricing-block__tile:not(.is-upcoming):not(.is-past) .heading-5-v2 span.snowflake-title-v2-line:last-child{color:var(--ui-01)!important}.summit-pricing-block__tile:hover:not(.is-upcoming):not(.is-past) .heading-5-v2 span.snowflake-title-v2-line:last-child{color:#fff!important}.summit-pricing-block__tile.is-past .heading-5-v2 span.snowflake-title-v2-line:last-child{text-decoration:line-through}.summit-pricing-block__tile .snowflake-content-chip-button{margin-top:0;white-space:nowrap;display:none}.snowflake-card-v2-advanced.no-link{pointer-events:none!important}.snowpro-card{border:1px solid var(--summit-border);border-radius:var(--summit-border-radius);padding:var(--summit-card-padding-sm);display:flex;height:100%}.snowpro-card__headline{margin:24px 0 12px}.snowpro-card__pricing{margin-top:48px}.snowpro-card .snowflake-text .snowpro-card__price{color:var(--ui-01);font-weight:900;font-size:40px!important;font-family:Texta,sans-serif}.summit-stat-container\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-direction:row;flex-wrap:wrap}.summit-stat-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:not(:last-child){border-right:1px solid var(--summit-border)}.summit-stat-card{padding:0 40px}.summit-stat .heading-2-v2 .snowflake-title-v2-line:first-child{font-size:64px;line-height:52px;margin-bottom:8px}.summit-stat .heading-2-v2 .snowflake-title-v2-line:last-child{font-size:32px;line-height:30px;margin-bottom:16px}.summit-speaker-card .snowflake-card-v2-advanced-title{margin-bottom:var(--spacing-01)}.summit-add-on-card{padding:24px;border:1px solid #d2d1d4;border-radius:8px}.summit-add-on__subhead{padding-left:40px;padding-right:40px}.partner-card__logo-grid,.partner-card__logo-single{padding:40px}.partner-card__logo-grid .snowflake-image-container .cmp-image__image,.partner-card__logo-single .snowflake-image-container .cmp-image__image{border-radius:0;max-width:240px;margin:0 auto}.partner-card\u003E.container,.partner-card\u003E.container\u003E.aem-container,.partner-card\u003E.container\u003E.cmp-container{height:100%}.summit-add-on-block__content\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-direction:row;gap:24px;align-items:stretch}.partner-card__logo-grid\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-direction:row;flex-wrap:wrap;gap:40px 24px;justify-content:center;align-items:center}.partner-card__logo-grid\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(33.3333% - 24px);margin:0!important}.partner-card{border-radius:8px;border:1px solid #d2d1d4;overflow:hidden;height:100%;background-color:#fff}.partner-card__header{padding:16px 24px;border-bottom:1px solid #d2d1d4}.partner-card__header.is-purple{background-color:#7d44cf}.partner-card__header h4{display:flex;flex-direction:row!important;align-items:center;gap:12px}.partner-card__header h4::before{vertical-align:middle;content:\"\";display:inline-block;width:20px;height:20px;background-size:contain;background-repeat:no-repeat;background-image:url(\"data:image/svg+xml,%3Csvg width='21' height='23' viewBox='0 0 21 23' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M20.0375 12.8374C20.1644 12.439 20.2172 12.0289 20.2077 11.6237C20.193 11.3305 20.1548 11.0373 20.0712 10.7441C19.8196 9.83306 19.223 9.01989 18.3294 8.50724L5.61817 1.2017C3.82388 .173815 1.53618 .784335 .506483 2.56804C-.533615 4.34915 .0797871 6.62351 1.87408 7.65398L8.97715 11.7427L1.87408 15.8201C.0797871 16.8527 -.531016 19.1271 .506483 20.9156C1.53618 22.6941 3.82388 23.302 5.61817 22.2746L18.3294 14.9643C19.1871 14.4728 19.7693 13.7027 20.0375 12.8374Z' fill='black'/%3E%3C/svg%3E%0A\")}.partner-card__header.is-purple h4::before{background-image:url(\"data:image/svg+xml,%3Csvg width='21' height='23' viewBox='0 0 21 23' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M20.0375 12.8374C20.1644 12.439 20.2172 12.0289 20.2077 11.6237C20.193 11.3305 20.1548 11.0373 20.0712 10.7441C19.8196 9.83306 19.223 9.01989 18.3294 8.50724L5.61817 1.2017C3.82388 .173815 1.53618 .784335 .506483 2.56804C-.533615 4.34915 .0797871 6.62351 1.87408 7.65398L8.97715 11.7427L1.87408 15.8201C.0797871 16.8527 -.531016 19.1271 .506483 20.9156C1.53618 22.6941 3.82388 23.302 5.61817 22.2746L18.3294 14.9643C19.1871 14.4728 19.7693 13.7027 20.0375 12.8374Z' fill='white'/%3E%3C/svg%3E%0A\")}.sf-blue-mountains{background-size:90% auto;background-repeat:no-repeat;background-position:center bottom;background-image:url(\"data:image/svg+xml,%3Csvg width='1361' height='410' viewBox='0 0 1361 410' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M1360.25 410L1065.53 114.309L976.256 203.875L773.049 0L364.393 410H1360.25Z' fill='%233AA8DF'/%3E%3Cpath d='M274.778 410L137.467 272.238L.15625 410H274.778Z' fill='%233AA8DF'/%3E%3C/svg%3E%0A\")}.bwalignr,.main-pr-body .bwalignr{text-align:right}.bwblockalignl{margin-left:0;margin-right:auto}.bwcellpmargin{margin-top:0;margin-bottom:0}.bwlistdisc{list-style-type:disc}.bwpadb3{padding-bottom:4px}.bwpadb4{padding-bottom:5px}.bwpadl0{padding-left:0}.bwpadl3{padding-left:15px}.bwpadl6{padding-left:30px}.bwpadl9{padding-left:45px}.bwpadl12{padding-left:60px}.bwpadr0{padding-right:0}.bwtablemarginb{margin-bottom:10px}.bwvertalignb{vertical-align:bottom}.bwvertalignt{vertical-align:top}.bwsinglebottom{border-bottom:1pt solid #000}.bwdoublebottom{border-bottom:2.25pt double #000}.bwwidth1{width:1%}.bwwidth2{width:2%}.bwwidth6{width:6%}.bwwidth7{width:7%}.bwwidth8{width:8%}.bwwidth10{width:10%}.bwwidth12{width:12%}.bwwidth32{width:32%}.bwwidth44{width:44%}.bwwidth72{width:72%}.bwwidth97{width:97%}.main-pr-body{font-size:18px;line-height:26px}.main-pr-body img{display:block;width:100%;height:auto!important;border-radius:var(--small-border-radius)}.main-pr-body table{width:100%;display:block}.main-pr-body tbody{background-color:#f7f7f7}.main-pr-body .bwsinglebottom{border-bottom:1pt solid #000!important}.main-pr-body td.bwwidth44{padding-right:40px}.main-pr-body .bw-release-story{font-family:Lato,sans-serif}.main-pr-body .bw-release-story sup,.snowflake-mega-nav-dropdown-header-content-right a{white-space:nowrap}.main-pr-body .bw-release-story\u003E*,.main-pr-body\u003Espan\u003E*{margin-bottom:2rem!important}.snowflake-text.main-pr-body tbody,.snowflake-text.main-pr-body tbody p{font-size:14px!important;line-height:20px!important;width:100%;display:block}.press-body .snowflake-flexible-column-container-items{gap:var(--spacing-08)}.about-snowflake{border:1px solid #ccc;background-color:var(--ui-background-05);padding:24px;border-radius:8px;margin-top:0}.about-snowflake__logo{max-width:140px;margin-top:16px}.hero--press .snowflake-hero-system-inner{max-width:1408px;margin:0 auto!important}#arcticNavItem{flex-direction:column}#arcticNavItem::before{content:\"Featured Open Source Technologies\";display:block;margin-top:48px;margin-bottom:24px;font-size:16px!important;line-height:16px!important;font-weight:800!important;text-transform:uppercase}@media screen and (min-width:768px){.sc-hero__inner\u003E.snowflake-flexible-column-container-items\u003Ediv:last-child{position:relative;height:100%;top:auto;left:auto;width:auto}.sc-hero__inner\u003E.snowflake-flexible-column-container-items\u003Ediv:last-child::before{background:linear-gradient(180deg,#202c35 -7.5%,#fff0 51.25%,#202c35 107.69%)}.sc-hero__byline\u003Espan{display:flex;flex-wrap:wrap}.sc-hero__byline p:not(:last-child)::after{content:\"|\";margin:0 12px;opacity:.5}.sc-hero__button-container .snowflake-flexible-column-container-items{position:absolute;bottom:0;padding:0;margin:0 24px 0 0}.sc-hero__button-container .hero-watch-the-demo{padding:12px 16px!important;float:right;margin-bottom:48px;background-color:rgb(35 45 54 / .8)}.summit-overview-stat{padding:0 40px}.summit-timeline{border-bottom:3px solid var(--ui-01);margin-bottom:64px}.summit-add-on-block__content,.summit-pricing-block__content{padding:0 40px 40px}#arcticNavItem::before{font-size:12px!important;margin-bottom:8px;margin-top:16px}.snowflake-mega-nav-nav-item-title-wrapper\u003E.snowflake-mega-nav-nav-item-title{line-height:20px!important}.snowflake-card .heading-2.snowflake-title-line{font-size:24px!important;line-height:28px!important}}@media screen and (min-width:992px){.hp-hero__eyebrow a{gap:12px;margin-left:0;margin-right:0}.hp-hero__eyebrow a::after{content:\"\";background-image:url(\"data:image/svg+xml,%3Csvg width='6' height='11' viewBox='0 0 6 11' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M5.49134 5.79438C5.53447 5.75922 5.56923 5.71489 5.5931 5.66463C5.61697 5.61436 5.62935 5.55941 5.62935 5.50376C5.62935 5.44811 5.61697 5.39316 5.5931 5.34289C5.56923 5.29263 5.53447 5.2483 5.49134 5.21314L.736339 .413136C.522589 .203135 .331339 .203135 .151339 .413136C-.0286612 .623135 -.0586612 .818135 .151339 .994386L4.48634 5.50188L.155089 9.97938C.107068 10.0142 .0679743 10.0598 .0410153 10.1126C.0140562 10.1654 0 10.2238 0 10.2831C0 10.3424 .0140562 10.4009 .0410153 10.4537C.0679743 10.5065 .107068 10.5521 .155089 10.5869C.335089 10.7969 .530089 10.7969 .740089 10.5869L5.49134 5.79438Z' fill='black'/%3E%3C/svg%3E%0A\");display:inline-block;width:12px;height:12px;background-repeat:no-repeat;background-size:auto 100%;background-position:left center}.promo-banner--homepage{padding-top:32px}.homepage-banner-offset-container::after{height:50%}#storyHighlights{padding:2rem}.body-display-v2.snowflake-quote-item-quote-text{line-height:28px!important}.snowflake-hero-system-headline .heading-1-v2{line-height:48px;font-size:54px!important}.sc-overview__webinar-promo-banner .snowflake-content-chip-content{flex-direction:row;justify-content:space-between;align-items:center;width:100%}.sc-overview__webinar-promo-banner .snowflake-content-chip-content .heading-5-v2{flex-direction:row}.sc-overview__webinar-promo-banner .snowflake-content-chip-content .snowflake-title-v2-line:not(:first-child)::before{content:\"|\";margin:0 6px}.sc-cert-banner{padding:40px}.sc-cert-banner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{margin:0!important;width:50%}.sc-cert-banner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:first-child{flex-grow:1;padding-right:24px}.sc-cert-banner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:last-child{max-width:240px}.summit-pricing-block__content\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:last-child{width:70%;padding-left:40px}.summit-pricing-block__content\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:first-child{width:30%}.summit-add-on-block__content\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(33.3333% - 24px);margin:0!important;display:flex}.summit-pricing-block__tile .snowflake-content-chip-content{display:flex;flex-direction:row;align-items:center;width:calc(100% - 200px)}.summit-pricing-block__tile .heading-5-v2 span.snowflake-title-v2-line:last-child{position:absolute;top:50%;transform:translate(0,-50%);right:40px}.press-body\u003E.snowflake-flexible-column-container-items\u003Ediv:last-child{position:sticky;top:120px}.snowflake-mega-nav-navigation-title:hover{color:var(--ui-01)}}@media screen and (min-width:1024px){.about-snowflake{padding:28px}.about-snowflake__logo{max-width:none;padding:0 0 0 48px;margin-bottom:0}.hero--press .snowflake-hero-system-layout-70-30 .snowflake-hero-system-content-container{width:85%}.snowflake-hero-system{padding-bottom:var(--spacing-04);padding-top:var(--spacing-07)}.hero--press .display-2-v2{font-size:64px;line-height:56px}.about-snowflake\u003E.container\u003E.cmp-container\u003E.aem-container{flex-direction:row;flex-wrap:nowrap;align-items:center}.about-snowflake\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:last-child{max-width:280px}.about-snowflake\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:first-child{flex-grow:1;margin-bottom:0!important}#polarisNavItem{margin-top:40px}.snowflake-mega-nav-nav-item-description{line-height:18px!important}.snowflake-mega-nav-column-items{gap:var(--spacing-01);grid-gap:var(--spacing-01)}.snowflake-mega-nav-navigation-title{text-transform:none}}div[id*=blueIcon] .snowflake-mega-nav-nav-item-icon__inner{background:var(--ui-01);padding:8px}div[id*=blueIcon]:hover .snowflake-mega-nav-nav-item-icon__inner{background:var(--ui-01)!important}.snowflake-mega-nav-nav-item-icon__inner{border-radius:4px;background:var(--ui-background-05);padding:6px}.snowflake-mega-nav-nav-item:hover .snowflake-mega-nav-nav-item-icon__inner{background:#fff!important}.snowflake-mega-nav-nav-item-icon.snowflake-image-container{height:40px;width:40px}.snowflake-mega-nav-dropdown-footer-links\u003E.snowflake-button-link\u003E.snowflake-button-container{font-size:16px!important;font-family:Texta!important;font-weight:800!important}.snowflake-mega-nav-dropdown-footer-icon.snowflake-image-container{margin-right:8px;width:40px!important;height:40px!important}#viewAllCapabilities a:hover{background:0 0!important}#platformFooter .snowflake-title-v2 .snowflake-title-v2-line:last-child{font-family:Lato;font-size:14px;font-weight:500}#platformFooter .snowflake-mega-nav-dropdown-footer-links{flex-grow:1;justify-content:flex-end;align-items:center}#platformFooter .snowflake-mega-nav-dropdown-footer-content{flex-direction:row}#offset,#open-source{flex-direction:column;border-top:1px solid #ccc}#offset::before,#open-source::before{content:\" \";display:block;width:100%;font-weight:800!important;font-size:12px!important;line-height:14px;text-transform:uppercase;white-space:nowrap;margin-top:16px;margin-bottom:8px}#open-source::before{content:\"Open Source Technologies\"}.snowflake-mega-nav-dropdown-menu-close-button{margin:var(--spacing-04) 0 var(--spacing-03)}.snowflake-mega-nav-column{gap:var(--spacing-02)!important}.snowflake-mega-nav-nav-item\u003Ea{width:100%;margin-left:-8px;padding:8px;border-radius:4px}.snowflake-mega-nav-nav-item\u003Ea:hover{background-color:var(--ui-background-05)}.snowflake-mega-nav-nav-item-description{margin-top:2px;display:block}#promobanner_overflowBottomDarkBlue::before{content:'';display:block;position:absolute;bottom:0;left:0;width:100%;height:50%;background:#212d35}#promobanner_overflowTopDarkBlue::before{content:'';display:block;position:absolute;top:0;left:0;width:100%;height:50%;background:#212d35}.overview-card\u003Ediv{box-shadow:0 0 14px 0 rgba(0,0,0,.10);background-color:#fff;border-radius:16px;overflow:hidden}.overview-card-text{padding:40px}.overview-card-image img{border-radius:0 !important}.overview-card-text h3,.overview-card-text .heading-3-v2{font-size:18px;line-height:1.1;margin-top:0}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false},"mega_header":{"additionalClasses":"heap-nav-header","layout":"SIMPLE","id":"container-633dcd2fec",":type":"snowflake-site/components/mega-header","appliedCssClassNames":"snowflake-header-container white",":items":{"nav_mega":{"activeItem":"item_1719963657751_c_663444255","id":"tabs-b256bfb561",":type":"snowflake-site/components/nav/nav-mega",":items":{"item_1719963657751_c_663444255":{"id":"nav-dropdown-menu-84bffe1ec6","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-27e0eb30a9",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column":{"additionalClasses":"nav-platform-sidebar","numberOfSubColumns":"one-column","minWidth":"230","maxWidth":"350","layout":"SIMPLE","id":"container-b77a407f10",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_copy_2_793631646":{"id":"nav-item-e890423a37","additionalClasses":"nav-item__platform-parent is-platform","linkDescription":"Develop AI products, apps and more on a fully managed platform that securely connects businesses globally — across any type or scale of data.","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/platform/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"The Snowflake Platform"},":type":"snowflake-site/components/nav/nav-item"},"nav_item":{"id":"nav-item-58568983c0","additionalClasses":"nav-item nav-item--si is-si","linkDescription":"All your knowledge. One trusted enterprise agent.","flag":"NOW GA","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/snowflake-cowork/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake CoWork"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy_2_836345186":{"id":"nav-item-c858ffb793","additionalClasses":"blue-icon is-analytics","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/analytics/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Analytics"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy_2":{"id":"nav-item-84176370a4","additionalClasses":"blue-icon is-ai","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/ai/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"AI"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy_2_1314771042":{"id":"nav-item-683816521a","additionalClasses":"blue-icon is-data-eng","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/data-engineering/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Data Engineering"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144634":{"id":"nav-item-52b76a3296","additionalClasses":"blue-icon is-apps-collab","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/applications-and-collaboration/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Applications & Collaboration"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144634_2013333117":{"id":"nav-item-5b5f958fb3","additionalClasses":"blue-icon is-transactions","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/transactions/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Transactions"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_copy_2_793631646","nav_item","nav_item_copy_copy_2_836345186","nav_item_copy_copy_2","nav_item_copy_copy_2_1314771042","nav_item_copy_144634","nav_item_copy_144634_2013333117"]},"nav_column_copy_copy":{"additionalClasses":"meganav-platform-features","navColumnTitle":"Featured Capabilities","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-a701328f21",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_212715":{"id":"nav-item-823ec812cb","additionalClasses":"is-cortex-code","linkDescription":"Snowflake-native AI coding agent ","flag":"New","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/snowflake-coco/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake CoCo"},":type":"snowflake-site/components/nav/nav-item"},"nav_item":{"id":"nav-item-1da17a1d32","additionalClasses":"is-cortex-ai","linkDescription":"Instant access to industry-leading LLMs","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/product/features/cortex/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Cortex AI"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590635":{"id":"nav-item-e608689665","additionalClasses":"is-marketplace","linkDescription":"Third-party data sources connected within minutes","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/product/features/marketplace/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Marketplace"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590":{"id":"nav-item-a7888a5d05","additionalClasses":"is-snowpark","linkDescription":"Libraries and code execution environments that run Python and more","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/product/features/snowpark/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Snowpark"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590_983061516":{"id":"nav-item-a97836b26e","additionalClasses":"is-streamlit","linkDescription":"Framework for transforming Python scripts into web apps","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/product/features/streamlit-in-snowflake/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Streamlit"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_212715","nav_item","nav_item_copy_660590635","nav_item_copy_660590","nav_item_copy_660590_983061516"]},"nav_column_692142673":{"navColumnTitle":" ","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-41f03058e5",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_660590_1739526127":{"id":"nav-item-1b8ff896da","additionalClasses":"is-postgres","linkDescription":"Fully compatible open source Postgres running on Snowflake","flag":"Now GA","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/features/postgres/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Postgres"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_185565":{"id":"nav-item-863a625ca8","additionalClasses":"is-dcr","linkDescription":"Streamlined model development and MLOps from a centralized UI","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/features/end-to-end-ml-workflows/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake ML"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_212715":{"id":"nav-item-1da16fb518","additionalClasses":"is-openflow","linkDescription":"Effortless data movement for integrations","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/product/features/openflow/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Openflow"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590":{"id":"nav-item-2ddb222247","additionalClasses":"is-notebooks","linkDescription":"Interactive dev environment for data and AI teams","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/product/features/notebooks/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Notebooks"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_258535199":{"id":"nav-item-0623485b5d","propertiesId":"workload-nav-1","additionalClasses":"is-native-apps","linkDescription":"End-to-end, Snowflake-native app creation and distribution","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/product/features/native-apps/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Native Apps"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_660590_1739526127","nav_item_copy_185565","nav_item_copy_212715","nav_item_copy_660590","nav_item_258535199"]},"nav_column_782221091":{"navColumnTitle":" ","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-77c7042ea1",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy":{"id":"nav-item-5b136a6ab7","additionalClasses":"is-light-gray-icon is-horizon-catalog","linkDescription":"Universal AI catalog","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/features/horizon/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Horizon Catalog"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590_1293798742":{"id":"nav-item-e24bd9c25c","additionalClasses":"is-snowflake-ml","linkDescription":"Governed context layer that keeps AI, BI and data apps working from one truth","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/features/horizon-context/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Horizon Context"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_511717659_c":{"id":"nav-item-33058fb423","additionalClasses":"is-unistore","linkDescription":"Unify transactional and analytical workloads in Snowflake for enhanced simplicity","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/features/unistore/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Unistore"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_511717659_c_1443811525":{"id":"nav-item-9654285c35","additionalClasses":"is-observe","linkDescription":"AI-powered observability for faster production troubleshooting","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/observe/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Observe"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_511717659_c_1006104884":{"id":"nav-item-7bdef8c6f9","additionalClasses":"is-observe","linkDescription":"Use any engine on a single governed data copy","flag":"Now GA","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/use-cases/interoperable-lakehouse/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Interoperable Lakehouse"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy","nav_item_copy_660590_1293798742","nav_item_511717659_c","nav_item_511717659_c_1443811525","nav_item_511717659_c_1006104884"]}},":itemsOrder":["nav_column","nav_column_copy_copy","nav_column_692142673","nav_column_782221091"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"Product"},"nav_dropdown_menu_2":{"id":"nav-dropdown-menu-2f50c095bf","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-41fd5b1580",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column":{"navColumnTitle":"INDUSTRIES","numberOfSubColumns":"one-column","minWidth":"280","layout":"SIMPLE","id":"container-c745e1df85",":type":"snowflake-site/components/nav/nav-column","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"nav_item_copy_361384_2056203141":{"id":"nav-item-5d3cf77271","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"All Industries"},":type":"snowflake-site/components/nav/nav-item"},"nav_item":{"id":"nav-item-d0bc5c3461","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/advertising-media-entertainment/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Advertising, Media & Entertainment"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-764bb4b0d6","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/financial-services/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Financial Services"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1970515619":{"id":"nav-item-560331e0d2","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/healthcare-and-life-sciences/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Healthcare & Life Sciences"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1533429516":{"id":"nav-item-00c61fadf3","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/manufacturing/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Manufacturing"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1444458226":{"id":"nav-item-8d6e865f6d","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/public-sector/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Public Sector"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1149488919":{"id":"nav-item-9dcebb74e1","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/retail-consumer-goods/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Retail & Consumer Goods"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_57417040":{"id":"nav-item-3465fc2eeb","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/technology/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Technology"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_361384674":{"id":"nav-item-cb05eb63b9","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/telecom/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Telecom"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_361384":{"id":"nav-item-93cce392dd","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/industries/travel-hospitality/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Travel & Hospitality"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_361384_2056203141","nav_item","nav_item_copy","nav_item_copy_1970515619","nav_item_copy_1533429516","nav_item_copy_1444458226","nav_item_copy_1149488919","nav_item_copy_57417040","nav_item_copy_361384674","nav_item_copy_361384"]},"nav_column_copy":{"navColumnTitle":"DEPARTMENTS","numberOfSubColumns":"one-column","minWidth":"160","layout":"SIMPLE","id":"container-1883f30bc4",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-c940c06a57","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/solutions/departments/finance/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Finance"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-c0e06c7f60","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/solutions/departments/information-technology/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"IT"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1970515619":{"id":"nav-item-7d479707ad","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/solutions/departments/marketing/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Marketing"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_copy","nav_item_copy_1970515619"]},"nav_column_833417450":{"navColumnTitle":"Enablement Solutions","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-e65f71f661",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_107772":{"id":"nav-item-603b103407","linkDescription":"Confident migration to a unified platform","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/migrate-to-the-cloud/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Migrate to the AI Data Cloud"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/nav_dropdown_menu_2/nav_column_container/nav_column_833417450/nav_item_copy_107772/icon.coreimg.svg/1723828484100/nav-icon-cloud.svg","lazyEnabled":true,"alt":"Cloud icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy":{"id":"nav-item-6de7bc8359","linkDescription":"Snowflake experts to help you accelerate and achieve business goals","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/services-delivery/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Services Delivery"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/nav_dropdown_menu_2/nav_column_container/nav_column_833417450/nav_item_copy_copy/icon.coreimg.svg/1768354429188/nav-icon--migrate.svg","lazyEnabled":true,"alt":"Migrate icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_107772","nav_item_copy_copy"]},"nav_column_copy_copy":{"navColumnTitle":"PARTNER SOLUTIONS","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-b2212f3152",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-7ad02de255","linkDescription":"Programs with product, solutions and cloud partners","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/why-snowflake/partners/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake Partner Network"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/nav_dropdown_menu_2/nav_column_container/nav_column_copy_copy/nav_item/icon.coreimg.svg/1723828498700/nav-icon--partner-network.svg","lazyEnabled":true,"alt":"Partner Network icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-40f2a1f0ae","linkDescription":"Partners, apps and solutions for enhanced deployment","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/why-snowflake/partners/all-partners/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Partner Finder"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/nav_dropdown_menu_2/nav_column_container/nav_column_copy_copy/nav_item_copy/icon.coreimg.svg/1726173927645/nav-icon--partner-finder.svg","lazyEnabled":true,"alt":"Partner Finder icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1970515619":{"id":"nav-item-7a7dc3bbbf","linkDescription":"Live and virtual events","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/why-snowflake/partners/event-partnership-opportunities/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Event Partnership Opportunities"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/nav_dropdown_menu_2/nav_column_container/nav_column_copy_copy/nav_item_copy_1970515619/icon.coreimg.svg/1726173935655/nav-icon--events.svg","lazyEnabled":true,"alt":"Calendar icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_copy","nav_item_copy_1970515619"]}},":itemsOrder":["nav_column","nav_column_copy","nav_column_833417450","nav_column_copy_copy"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"Solutions"},"item_1719963657751_c":{"id":"nav-dropdown-menu-88dbf0388a","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-d677ebf3e0",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column":{"numberOfSubColumns":"one-column","minWidth":"230","maxWidth":"350","layout":"SIMPLE","id":"container-43d6ada632",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_copy_2_793631646":{"id":"nav-item-93adbd6a6d","additionalClasses":"nav-item__platform-parent-why-sf","linkDescription":"Collaborate locally and globally to reveal new insights, create previously unforeseen business opportunities, and identify your customers with seamless experiences.","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/why-snowflake/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Why Snowflake"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_copy_2_793631646"]},"nav_column_copy_copy":{"additionalClasses":"meganav-platform-features","numberOfSubColumns":"two-columns","maxWidth":"1200","layout":"SIMPLE","id":"container-c1df9c3b0a",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-a2543bf252","propertiesId":"testID","linkDescription":"Case studies and videos showcasing how global organizations use Snowflake","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/customers/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Customers"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751_c/nav_column_container/nav_column_copy_copy/nav_item/icon.coreimg.svg/1739839279367/nav-icon--partner-network.svg","lazyEnabled":true,"alt":"Customer icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_258535199":{"id":"nav-item-c2e70bb562","propertiesId":"workload-nav-1","linkDescription":"Learn how to connect, share and integrate the data and apps on the AI Data Cloud","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/why-snowflake/what-is-data-cloud/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"The AI Data Cloud Explained"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751_c/nav_column_container/nav_column_copy_copy/nav_item_258535199/icon.coreimg.svg/1739840490955/nav-icon-cloud.svg","lazyEnabled":true,"alt":"Cloud icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_185565":{"id":"nav-item-8b341177f5","linkDescription":"Comprehensive security through built-in features, robust cloud infrastructure protection, and more","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/why-snowflake/snowflake-security-hub/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Security Hub"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751_c/nav_column_container/nav_column_copy_copy/nav_item_copy_185565/icon.coreimg.svg/1758909528089/user-security-admins-ciso-icon.svg","lazyEnabled":true,"alt":"User with security lock icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-c93e8bff12","additionalClasses":"is-light-gray-icon","linkDescription":"Maximize economic value through minimizing TCO and continuously optimizing price for performance","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/pricing-options/cost-and-performance-optimization/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Cost and Performance Optimization"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751_c/nav_column_container/nav_column_copy_copy/nav_item_copy/icon.coreimg.svg/1758909542267/nav-icon-cost-optimization-performance.svg","lazyEnabled":true,"alt":"Cost Optimization icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_185565_903555964":{"id":"nav-item-bf03ed5620","linkDescription":"Startups building applications in the AI Data Cloud","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/why-snowflake/startup-program/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake for Startups"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751_c/nav_column_container/nav_column_copy_copy/nav_item_copy_185565_903555964/icon.coreimg.svg/1758732224323/launch.svg","lazyEnabled":true,"alt":"Launch","width":"65",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_258535199","nav_item_copy_185565","nav_item_copy","nav_item_copy_185565_903555964"]}},":itemsOrder":["nav_column","nav_column_copy_copy"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"Why Snowflake"},"item_1719961362824":{"id":"nav-dropdown-menu-ffc2ae09b0","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-9b0cf5e0f1",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column_copy":{"navColumnTitle":"Connect","numberOfSubColumns":"one-column","minWidth":"124","layout":"SIMPLE","id":"container-48485c9317",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-5c4feaf792","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Blog"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_180298689":{"id":"nav-item-2bdd9ba386","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/events/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Events"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_1639361946":{"id":"nav-item-5b2b79403e","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/support/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Support"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_680912746":{"id":"nav-item-7f9684f355","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/contact/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Contact us"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_180298689","nav_item_1639361946","nav_item_680912746"]},"nav_column_44600420__826130542":{"navColumnTitle":"Learn","numberOfSubColumns":"two-columns","layout":"SIMPLE","id":"container-a05f7eb056",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy":{"id":"nav-item-7a395aa637","linkDescription":"Ebooks, videos, white papers and more","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/resources/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Resource Library"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy/icon.coreimg.svg/1736877128196/nav-icon--notebooks.svg","lazyEnabled":true,"alt":"Notebooks icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item":{"id":"nav-item-9282ef43d6","linkDescription":"Overview of Snowflake's educational offerings","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/resources/learn/training/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Training"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item/icon.coreimg.svg/1722385094416/nav-icon--training.svg","lazyEnabled":true,"alt":"Training icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144634_1984107859":{"id":"nav-item-b4d244fcb9","linkDescription":"Expert-led discussions and demos across industries and use cases","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/webinars/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Webinars"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy_144634_1984107859/icon.coreimg.svg/1759424691990/nav-icon--webinars.svg","lazyEnabled":true,"alt":"Webinars icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1438098918":{"id":"nav-item-cfb2c8e757","linkDescription":"Snowflake's technical industry professional certifications","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/resources/learn/certifications/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Certifications"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy_1438098918/icon.coreimg.svg/1722382780833/nav-icon--cert.svg","lazyEnabled":true,"alt":"Certification icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_143809":{"id":"nav-item-6e6485919f","linkDescription":"Weekly product demos showcasing key features and live Q&A ","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/webinars/demo/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Live Demos"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy_143809/icon.coreimg.svg/1759424359543/nav-icon--live-demo.svg","lazyEnabled":true,"alt":"Live Demo icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_333890638":{"id":"nav-item-14b3c16fe5","linkDescription":"Training courses for all levels, on-demand or instructor-led","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://learn.snowflake.com/en/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Snowflake University"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy_333890638/icon.coreimg.svg/1722382769808/nav-icon--education.svg","lazyEnabled":true,"alt":"Education icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_189945":{"id":"nav-item-d81bf5e5cc","linkDescription":"Instructor-led virtual workshops for exploring key Snowflake features","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/webinars/virtual-hands-on-lab/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Hands-On Labs"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy_189945/icon.coreimg.svg/1759388182903/nav-icon--labs.svg","lazyEnabled":true,"alt":"Hands-on Labs icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_333890":{"id":"nav-item-4035924a10","linkDescription":"Academic papers written by Snowflake researchers","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/resources/publications/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake Research Publications"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy_333890/icon.coreimg.svg/1756326371387/copy.svg","lazyEnabled":true,"alt":"Copy","width":"65",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_333890_930852828":{"id":"nav-item-a18d6d3a20","linkDescription":"Informative articles about AI and data topics","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/fundamentals/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Fundamentals"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy_333890_930852828/icon.coreimg.svg/1756853637155/data-sheet.svg","lazyEnabled":true,"alt":"Document with list","width":"65",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy","nav_item","nav_item_copy_144634_1984107859","nav_item_copy_1438098918","nav_item_copy_143809","nav_item_copy_333890638","nav_item_copy_189945","nav_item_copy_333890","nav_item_copy_333890_930852828"]}},":itemsOrder":["nav_column_copy","nav_column_44600420__826130542"]},"nav_promo_section":{"id":"nav-promo-section-aa09ca4a95","experience_fragment_1":{"id":"experiencefragment-7395439dca","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/nav-promo-card/master1/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"nav_promo_card":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-6577d34431",":type":"snowflake-site/components/container",":items":{"nav_promo_card":{"id":"nav-promo-card-08105be79a","openInNewWindow":true,"layout":"horizontal","headline":"Dev Day Virtual - June 25","description":"Don’t just hear about AI — build it. Luminary talks and hands-on labs","linkTitle":"Learn more","linkUrl":"/en/dev-day/americas-virtual/","image":{"id":"image","height":"540","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--de231e36-6645-4550-abd9-0f8de758ac66/web-dev-day-26-960x540-1x.png?quality=85&preferwebp=true","lazyEnabled":true,"alt":"dev day","width":"960",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-promo-card"}},":itemsOrder":["nav_promo_card"]},"cq:metadata":{":type":"nt:unstructured"}},":itemsOrder":["root","cq:metadata"],"classNames":"aem-xf"},"experience_fragment_2":{"id":"experiencefragment-0069450a5c","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/nav-promo-card/navigation-promo-card-2/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"nav_promo_card":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-d5faf18875",":type":"snowflake-site/components/container",":items":{"nav_promo_card":{"id":"nav-promo-card-a7ee33aa72","openInNewWindow":true,"layout":"horizontal","headline":"The ROI of Gen AI and Agents 2026","description":"Discover how 92% of early adopters are achieving positive ROI with gen AI.","linkTitle":"Learn More","linkUrl":"/en/lp/radical-roi-generative-ai/","image":{"id":"image","height":"540","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--0c15edae-1a97-4739-8b16-c7f3941a6d9e/web-roi-of-gen-ai-and-agents-2026-r02-960x540.png?quality=85&preferwebp=true","lazyEnabled":true,"alt":"roi of gen ai and agents","width":"960",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-promo-card"}},":itemsOrder":["nav_promo_card"]},"cq:metadata":{":type":"nt:unstructured"}},":itemsOrder":["root","cq:metadata"],"classNames":"aem-xf"},"experience_fragment_3":{"id":"experiencefragment-85d09f1bc3","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/nav-promo-card/navigation-promo-card-3/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"nav_promo_card":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-6c2aa2f79d",":type":"snowflake-site/components/container",":items":{"nav_promo_card":{"id":"nav-promo-card-e162d4575d","openInNewWindow":true,"layout":"horizontal","headline":"Startup 2026: AI Agents Mean Business","description":"Venture leaders weigh in on agentic AI. ","linkTitle":"Learn more","linkUrl":"/en/lp/building-startup-ai-age/","image":{"id":"image","height":"540","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--a320b404-dca1-4477-b033-c79708538657/web-startup-2026-960x540.png?quality=85&preferwebp=true","lazyEnabled":true,"alt":"alt","width":"960",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-promo-card"}},":itemsOrder":["nav_promo_card"]},"cq:metadata":{":type":"nt:unstructured"}},":itemsOrder":["root","cq:metadata"],"classNames":"aem-xf"},":type":"snowflake-site/components/nav/nav-promo-section"},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"Resources"},"item_1719963657751":{"id":"nav-dropdown-menu-c710733732","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-203189c037",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column_copy_copy":{"navColumnTitle":"Build","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-90b69486b0",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-14b1fc8f53","propertiesId":"testID","linkDescription":"Overview of the dev resources you need to build and scale","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake for Developers"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751/nav_column_container/nav_column_copy_copy/nav_item/icon.coreimg.svg/1731362494574/nav-icon--devs.svg","lazyEnabled":true,"alt":"Developers icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1855651246":{"id":"nav-item-a0de845b27","linkDescription":"Reference architectures, use cases and best practices","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/guides/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Developer Guides"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751/nav_column_container/nav_column_copy_copy/nav_item_copy_1855651246/icon.coreimg.svg/1761677891705/nav-icon--solution-center.svg","lazyEnabled":true,"alt":"Solution Center icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-5e91a23e67","additionalClasses":"is-light-gray-icon","linkDescription":"The latest software versions, drivers, libraries and relevant docs","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/downloads/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Downloads"},"icon":{"id":"icon","height":"28","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751/nav_column_container/nav_column_copy_copy/nav_item_copy/icon.coreimg.svg/1731362660050/nav-icon-download.svg","lazyEnabled":true,"alt":"Download icon","width":"28",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_copy_1855651246","nav_item_copy"]},"nav_column_copy_copy_1367930678":{"navColumnTitle":"Learn","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-bcd0c3ab4d",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-908559a97b","propertiesId":"testID","linkDescription":"Reference docs, guides, tutorials and announcements","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://docs.snowflake.com/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Documentation"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751/nav_column_container/nav_column_copy_copy_1367930678/nav_item/icon.coreimg.svg/1731361950527/nav-icon--docs.svg","lazyEnabled":true,"alt":"Docs icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-ac60d15ddb","additionalClasses":"is-light-gray-icon","linkDescription":"Key projects Snowflake engineers maintain and support","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/open-source/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Open Source"},"icon":{"id":"icon","height":"32","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751/nav_column_container/nav_column_copy_copy_1367930678/nav_item_copy/icon.coreimg.svg/1731365437016/nav-icon-open-source.svg","lazyEnabled":true,"alt":"Open Source icon","width":"32",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy":{"id":"nav-item-9b38e14756","additionalClasses":"is-light-gray-icon","linkDescription":"Online and in-person classes and workshops to upskill on Snowflake","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/northstar/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Builder Education"},"icon":{"id":"icon","height":"32","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751/nav_column_container/nav_column_copy_copy_1367930678/nav_item_copy_copy/icon.coreimg.svg/1731362475640/nav-icon--northstar.svg","lazyEnabled":true,"alt":"Northstar logo","width":"32",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_copy","nav_item_copy_copy"]},"nav_column_copy_copy_1101894776":{"navColumnTitle":"Connect","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-d1d146c2a8",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-ab74eb9cd6","propertiesId":"testID","linkDescription":"Snowflake’s technical leaders on what, why and how they build features","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/engineering-blog/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Engineering Blog"},"icon":{"id":"icon","height":"32","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751/nav_column_container/nav_column_copy_copy_1101894776/nav_item/icon.coreimg.svg/1757101368571/nav-icon--developer-center.svg","lazyEnabled":true,"alt":"Developers icon","width":"32",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1855651246":{"id":"nav-item-e08629722d","linkDescription":"Tips, tricks and discussion with fellow Snowflake developers","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://community.snowflake.com/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Community"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751/nav_column_container/nav_column_copy_copy_1101894776/nav_item_copy_1855651246/icon.coreimg.svg/1731362644348/nav-icon--partner-network.svg","lazyEnabled":true,"alt":"Partner Network icon","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_copy_1855651246"]}},":itemsOrder":["nav_column_copy_copy","nav_column_copy_copy_1367930678","nav_column_copy_copy_1101894776"]},"nav_promo_section":{"id":"nav-promo-section-16c56886a4","experience_fragment_1":{"id":"experiencefragment-e15cc707d3","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/nav-promo-card/nav-promo-5/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"nav_promo_card":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-a142b296f1",":type":"snowflake-site/components/container",":items":{"nav_promo_card":{"id":"nav-promo-card-c89ee1c841","openInNewWindow":false,"layout":"horizontal","headline":"Get started with your first Snowflake Notebook","description":"Write and execute code, visualize results, and tell the story of your analysis all in one place.","linkTitle":"Learn More","linkUrl":"/en/developers/solutions-center/getting-started-with-your-first-snowflake-notebook-project/","image":{"id":"image","height":"210","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--dc7e334a-c38b-4283-b1de-fcf829952eef/nav-promo-first-notebook.jpg?quality=85&preferwebp=true","lazyEnabled":true,"alt":"alt","width":"415",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-promo-card"}},":itemsOrder":["nav_promo_card"]},"cq:LiveSyncConfig":{"cq:isDeep":true,"cq:rolloutConfigs":[],"cq:master":"/content/experience-fragments/snowflake-site/language-masters/en/site/nav-promo-card/nav-promo-card-4",":type":"cq:LiveCopy"}},":itemsOrder":["root","cq:LiveSyncConfig"],"classNames":"aem-xf"},"experience_fragment_2":{"id":"experiencefragment-5573b80764","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/nav-promo-card/nav-promo-card-4/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"nav_promo_card":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-1a9a683ac8",":type":"snowflake-site/components/container",":items":{"nav_promo_card":{"id":"nav-promo-card-21b3d1c7a5","openInNewWindow":true,"layout":"horizontal","headline":"Northstar Builder Workshops","description":"Join other developers as you roll up your sleeves and explore the possibilities of Snowflake.","linkTitle":"Learn More","linkUrl":"/en/nav-promos/northstar-builders-workshop/","image":{"id":"image","height":"700","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--14341ced-bc5e-4a29-9762-b7857f6cadfc/nav-promo-northstar.jpg?quality=85&preferwebp=true","lazyEnabled":true,"alt":"Snowflake Northstar logo","width":"1440",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-promo-card"}},":itemsOrder":["nav_promo_card"]},"cq:LiveSyncConfig":{"cq:isDeep":true,"cq:rolloutConfigs":[],"cq:master":"/content/experience-fragments/snowflake-site/language-masters/en/site/nav-promo-card/master",":type":"cq:LiveCopy"}},":itemsOrder":["root","cq:LiveSyncConfig"],"classNames":"aem-xf"},":type":"snowflake-site/components/nav/nav-promo-section"},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"Developers"},"item_1718247180324":{"id":"nav-dropdown-menu-7c1fc37e37","enableDropdown":false,"link_url":"/en/pricing-options/",":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"Pricing"}},":itemsOrder":["item_1719963657751_c_663444255","nav_dropdown_menu_2","item_1719963657751_c","item_1719961362824","item_1719963657751","item_1718247180324"]},"languagenavigation":{"id":"language-navigation-3775719447","languageNavItems":[{"title":"English","path":"/en/developers/guides/geo-analysis-geometry/","locale":"en","active":true},{"title":"日本語","path":"/ja/","locale":"ja","active":false},{"title":"한국어","path":"/ko/","locale":"ko","active":false},{"title":"中文（简体）","path":"/zh_cn/","locale":"zh-cn","active":false},{"title":"Português","path":"/pt_br/","locale":"pt-br","active":false},{"title":"Deutsch","path":"/de/","locale":"de","active":false},{"title":"Français","path":"/fr/","locale":"fr","active":false},{"title":"Español","path":"/es/","locale":"es","active":false},{"title":"Italiano","path":"/it/","locale":"it","active":false}],":type":"snowflake-site/components/nav/language-navigation"},"button_1177328691":{"id":"button-b0147ce4ca","heapButtonClasses":["mega-nav__sign-in"],"showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://app.snowflake.com/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-link snowflake-button-black snowflake-button-compact","linkType":"SNOWFLAKE_EXTERNAL","text":"Sign in"},"button":{"id":"button-562f5cfc2e","heapButtonClasses":["contact_nav","heap-nav-contact"],"showOutboundIcon":true,"buttonLink":{"valid":true,"url":"/en/contact-sales/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-secondary snowflake-button-blue snowflake-button-compact","linkType":"SNOWFLAKE_INTERNAL","text":"CONTACT SALES"},"button_288358396":{"id":"button-b45b5b8636","heapButtonClasses":["start_for_free_nav","heap-nav-start-for-free"],"showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://signup.snowflake.com/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-primary snowflake-button-blue snowflake-button-compact","linkType":"SNOWFLAKE_EXTERNAL","text":"start for free"}},":itemsOrder":["nav_mega","languagenavigation","button_1177328691","button","button_288358396"]}},":itemsOrder":["markup_editor","mega_header"]},"image":{":type":"nt:unstructured"},"cq:targetMetadata":{"cq:targetStatus":"OUT_OF_SYNC","cq:exportTime":1781280015540,"cq:targetOfferId":860250,":type":"nt:unstructured"}},":itemsOrder":["root","image","cq:targetMetadata"],"classNames":"aem-xf"},"markup_editor_1950346551":{"id":"markup-editor-0d8d050912","title":" ","cssContent":".snowflake-markdown-table code[class*=language-],.snowflake-markdown-table code[class*=language-],.snowflake-markdown .snowflake-text code[class*=language-],.snowflake-markdown .snowflake-text pre[class*=language-]{background-color:rgba(var(--ui-12-rgb),.5);color:var(--text-01);text-shadow:none;padding:var(--spacing-00);border-radius:var(--spacing-00);font-size:smaller}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false},"responsivegrid":{"columnClassNames":{"quickstart_hero":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,":items":{"quickstart_hero":{"id":"quickstart-hero-2c9fc4d9bd","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/geo-analysis-geometry",":type":"snowflake-site/components/quickstart/quickstart-hero","isDeveloperGuidesPage":false,"quickstartHeroFirstCertifiedTag":{"tagText":"Quickstart","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/solution-center/certification/quickstart","tagIcon":""},"quickstartHeroTitle":{"lines":["Geospatial Analysis using Geometry and Geography Data Type"],"type":"heading2",":type":"snowflake-site/components/title-v2"},"quickstartHeroAuthor":"Peter Popov, Oleksii Bielov","quickstartHeroFirstSnowflakeFeatureTag":{"tagText":"Unstructured Data Analysis","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/snowflake-feature/unstructured-data-analysis","tagIcon":""},"quickstartHeroForkRepoLink":{"id":"button-f3375985fd","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://github.com/Snowflake-Labs/sfquickstarts/tree/master/site/sfguides/src/geo-analysis-geometry"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Fork Repo"},"quickstartHeroBreadcrumbs":[{"title":"Geospatial Analysis using Geometry and Geography Data Type","url":"https://www.snowflake.com/content/snowflake-site/global/en/developers/guides/geo-analysis-geometry","currentPage":true},{"title":"Guides","url":"https://www.snowflake.com/content/snowflake-site/global/en/developers/guides","currentPage":false},{"title":"Snowflake for Developers","url":"https://www.snowflake.com/content/snowflake-site/global/en/developers","currentPage":false}]},"flexible_column_cont":{"id":"flexible-column-container-c24f03e196","propertiesId":"quickstart-template-main-flexible-container","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-0c621d9027",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"contentfragment":{"id":"contentfragment-8ac010509a","paragraphs":["<!-- ----------------------------------------- -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003EGeospatial query capabilities in Snowflake are built upon a combination of data types and specialized query functions that can be used to parse, construct, and run calculations over geospatial objects. This guide will introduce you to the \u003Ccode\u003EGEOMETRY\u003C/code\u003E data type, help you understand geospatial formats supported by Snowflake and walk you through the use of a variety of functions on sample geospatial data sets.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EQuick Video \u003Ca href=\"https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.\"\u003EIntroduction to Snowflake\u003C/a\u003E\u003C/li\u003E\u003Cli\u003ESnowflake \u003Ca href=\"https://www.youtube.com/watch?v=us6MChC8T9Y&ab_channel=SnowflakeInc.\"\u003EData Loading Basics\u003C/a\u003E Video\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.carto.com/getting-started/carto-in-a-nutshell\"\u003ECARTO in a nutshell\u003C/a\u003Eweb guide\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.youtube.com/watch?v=9W_Attbs-fY\"\u003ECARTO Spatial Extension for Snowflake\u003C/a\u003E video\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You’ll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to acquire geospatial data from the Snowflake Marketplace\u003C/li\u003E\u003Cli\u003EHow to load geospatial data from a Stage\u003C/li\u003E\u003Cli\u003EHow to interpret the \u003Ccode\u003EGEOMETRY\u003C/code\u003E data type and how it differs from the \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E\u003C/li\u003E\u003Cli\u003EHow to understand the different formats that \u003Ccode\u003EGEOMETRY\u003C/code\u003E can be expressed in\u003C/li\u003E\u003Cli\u003EHow to do spatial analysis using the \u003Ccode\u003EGEOMETRY\u003C/code\u003E and \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E data types\u003C/li\u003E\u003Cli\u003EHow to use Python UDFs for reading Shapefiles and creating custom functions\u003C/li\u003E\u003Cli\u003EHow to use Global Discrete Grid and H3 functions\u003C/li\u003E\u003Cli\u003EHow to use Search Optimization to speed up geospatial queries\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You’ll Need\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA supported Snowflake \u003Ca href=\"https://docs.snowflake.com/en/user-guide/setup.html\"\u003EBrowser\u003C/a\u003E\u003C/li\u003E\u003Cli\u003ESign-up for a \u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003ESnowflake Trial\u003C/a\u003E  OR have access to an existing Snowflake account with the \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E role or the \u003Ccode\u003EIMPORT SHARE\u003C/code\u003Eprivilege. Select the Enterprise edition, AWS as a cloud provider and US East (Northern Virginia) or EU (Frankfurt) as a region.\u003C/li\u003E\u003Cli\u003ESign-up for a  \u003Ca href=\"http://app.carto.com/signup\"\u003ECARTO Trial\u003C/a\u003E (OR  have access to an existing CARTO account). Select the same region (continent) as for the Snowflake account.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You’ll Build\u003C/h3\u003E\n","\u003Cp\u003EA sample use case that involves energy grids and LTE cell towers in the Netherlands You will answer the following questions:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EWhat is the length of all energy grids in each municipality in the Netherlands?\u003C/li\u003E\u003Cli\u003EWhat cell towers lack electricity cables nearby?\u003C/li\u003E\u003Cli\u003EWhat municipalities in the Netherlands have good/poor LTE coverage?\u003C/li\u003E\u003Cli\u003EWhat percent of the Dutch highways have LTE coverage?\u003C/li\u003E\u003Cli\u003EWhat is the estimated quality of LTE signal on Dutch highways?\u003C/li\u003E\u003C/ul\u003E\n<!-- ----------------------------------------- -->\n","\u003Ch2\u003ESetup your Account\u003C/h2\u003E\n","\u003Cp\u003EIf this is the first time you are logging into the Snowflake UI, you will be prompted to enter your account name or account URL that you were given when you acquired a trial. The account URL contains your \u003Ca href=\"https://docs.snowflake.com/en/user-guide/connecting.html#your-snowflake-account-name\"\u003Eaccount name\u003C/a\u003E and potentially the region. You can find your account URL in the email that was sent to you after you signed up for the trial.\u003C/p\u003E\n","\u003Cp\u003EClick \u003Ccode\u003ESign-in\u003C/code\u003E and you will be prompted for your username and password.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EIf this is not the first time you are logging into the Snowflake UI, you should see a "Select an account to sign into" prompt and a button for your account name listed below it. Click the account you wish to access and you will be prompted for your username and password (or another authentication mechanism).\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EIncrease Your Account Permission\u003C/h3\u003E\n","\u003Cp\u003EThe Snowflake web interface has a lot to offer, but for now, switch your current role from the default \u003Ccode\u003ESYSADMIN\u003C/code\u003E to \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E. This increase in permissions will allow you to create shared databases from Snowflake Marketplace listings.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EIf you don't have the \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E role, switch to a role with \u003Ccode\u003EIMPORT SHARE\u003C/code\u003E privileges instead.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo-analysis-geometry-2.png\" alt=\"assets/geo-analysis-geometry-2.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ECreate a Virtual Warehouse\u003C/h3\u003E\n","\u003Cp\u003EYou will need to create a Virtual Warehouse to run queries.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ENavigate to the \u003Ccode\u003EAdmin > Warehouses\u003C/code\u003E screen using the menu on the left side of the window\u003C/li\u003E\u003Cli\u003EClick the big blue \u003Ccode\u003E+ Warehouse\u003C/code\u003E button in the upper right of the window\u003C/li\u003E\u003Cli\u003ECreate a Large Warehouse as shown in the screen below\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_3.png\" alt=\"assets/geo_analysis_geometry_3.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EBe sure to change the \u003Ccode\u003ESuspend After (min)\u003C/code\u003E field to 5 min to avoid wasting compute credits.\u003C/p\u003E\n","\u003Ch3\u003EAcknowledge the Snowflake Third Party Terms\u003C/h3\u003E\n","\u003Cp\u003ETo use the packages provided by Anaconda inside Snowflake, you must acknowledge the Snowflake Third Party Terms.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESelect Admin » Billing & Terms.\u003C/li\u003E\u003Cli\u003EIn the Anaconda section, select Enable.\u003C/li\u003E\u003Cli\u003EIn the Anaconda Packages dialog, click the link to review the Snowflake Third Party Terms page.\u003C/li\u003E\u003Cli\u003EIf you agree to the terms, select \u003Ccode\u003EAcknowledge & Continue\u003C/code\u003E.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ECreate a Database and Schema\u003C/h3\u003E\n","\u003Cp\u003ENavigate to the query editor by clicking on  \u003Ccode\u003EWorksheets\u003C/code\u003E  on the top left navigation bar and choose your warehouse.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EClick the + Worksheet button in the upper right of your browser window. This will open a new window.\u003C/li\u003E\u003Cli\u003EIn the new Window, make sure \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E and \u003Ccode\u003EMY_WH\u003C/code\u003E (or whatever your warehouse is named) are selected in the upper right of your browser window.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_13.png\" alt=\"assets/geo_analysis_geometry_13.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003ECreate a new database and schema where you will store datasets in the \u003Ccode\u003EGEOMETRY\u003C/code\u003E data type. Copy & paste the SQL below into your worksheet editor, put your cursor somewhere in the text of the query you want to run (usually the beginning or end), and either click the blue "Play" button in the upper right of your browser window, or press \u003Ccode\u003ECTRL+Enter\u003C/code\u003E or \u003Ccode\u003ECMD+Enter\u003C/code\u003E (Windows or Mac) to run the query.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE DATABASE GEOLAB;\nCREATE OR REPLACE schema GEOLAB.GEOMETRY;\n// Set the working database schema\nUSE SCHEMA GEOLAB.GEOMETRY;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EConnect Snowflake and Carto\u003C/h3\u003E\n","\u003Cp\u003ELet's connect your Snowflake to CARTO so you can run and visualize the queries in the following exercises of this workshop.\u003C/p\u003E\n","\u003Cp\u003EAccess the CARTO Workspace: \u003Ca href=\"http://app.carto.com/\"\u003Eapp.carto.com\u003C/a\u003E\u003C/p\u003E\n","\u003Cp\u003EGo to the Connections section in the Workspace, where you can find the list of all your current connections.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_25.png\" alt=\"assets/geo_analysis_geometry_25.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003ETo add a new connection, click on \u003Ccode\u003ENew connection\u003C/code\u003E and follow these steps:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ESelect Snowflake.\u003C/li\u003E\u003Cli\u003EClick the \u003Ccode\u003ESetup connection\u003C/code\u003E button.\u003C/li\u003E\u003Cli\u003EEnter the connection parameters and credentials.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThese are the parameters you need to provide:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EName\u003C/strong\u003E for your connection: You can register different connections with the Snowflake connector. You can use the name to identify the connections.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EUsername\u003C/strong\u003E: Name of the user account.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EPassword\u003C/strong\u003E: Password for the user account.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EAccount\u003C/strong\u003E: Hostname for your account. One way to get it is to check the Snowflake activation email, which contains the account_name within the URL ( <account_name>.snowflakecomputing.com ). Just enter what's on the account_name, i.e ok36557.us-east-2.aws\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EWarehouse (optional)\u003C/strong\u003E: Default warehouse that will run your queries. Use MY_WH.\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EUse MY_WH or the name of the data warehouse you created in the previous step otherwise some queries will fail because CARTO won't know which warehouse to run them against.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDatabase (optional)\u003C/strong\u003E. Default database to run your queries. Use GEOLAB.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ERole (optional)\u003C/strong\u003E. Default Role to run your queries. Use ACCOUNTADMIN.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_26.png\" alt=\"assets/geo_analysis_geometry_26.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EOnce you have entered the parameters, you can click the Connect button. CARTO will try to connect to your Snowflake account. If everything is OK, your new connection will be registered.\u003C/p\u003E\n","\u003Ch2\u003EAcquire Marketplace Data and Analytics Toolbox\u003C/h2\u003E\n","\u003Cp\u003EThe first step in the guide is to acquire geospatial data sets that you can freely use to explore the basics of Snowflake's geospatial functionality.  The best place to acquire this data is the Snowflake Marketplace!\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ENavigate to the \u003Ccode\u003EMarketplace\u003C/code\u003E screen using the menu on the left side of the window\u003C/li\u003E\u003Cli\u003ESearch for\u003Ccode\u003EOpenCelliD\u003C/code\u003E in the search bar\u003C/li\u003E\u003Cli\u003EFind and click the\u003Ccode\u003EOpenCelliD - Open Database of Cell Towers\u003C/code\u003E tile\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_4.png\" alt=\"assets/geo_analysis_geometry_4.png\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EOnce in the listing, click the big blue \u003Ccode\u003EGet\u003C/code\u003E button\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EOn the \u003Ccode\u003EGet\u003C/code\u003E screen, you may be prompted to complete your \u003Ccode\u003Euser profile\u003C/code\u003E if you have not done so before. Click the link as shown in the screenshot below. Enter your name and email address into the profile screen and click the blue \u003Ccode\u003ESave\u003C/code\u003E button. You will be returned to the \u003Ccode\u003EGet\u003C/code\u003E screen.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_5.png\" alt=\"assets/geo_analysis_geometry_5.png\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EOn the \u003Ccode\u003EGet Data\u003C/code\u003E screen, change the name of the database from the default to \u003Ccode\u003EOPENCELLID\u003C/code\u003E, as this name is shorter, and all future instructions will assume this name for the database.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_6.png\" alt=\"assets/geo_analysis_geometry_6.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003ECongratulations! You have just created a shared database from a listing on the Snowflake Marketplace.\u003C/p\u003E\n","\u003Cp\u003ESimilarly to the above dataset, search and get the \u003Ccode\u003ENetherlands Open Map Data - Sonra\u003C/code\u003E dataset from the Marketplace and rename it to \u003Ccode\u003Eosm_nl\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_23.png\" alt=\"assets/geo_analysis_geometry_23.png\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EAfter clicking "Get" you may see a message saying "Getting Data Ready. This will take at least 10 minutes.". In this case simply continue this quickstart and come back to this step when you start using this dataset.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EInstall CARTO Analytics Toolbox from the Snowflake Marketplace\u003C/h3\u003E\n","\u003Cp\u003ENow you can acquire CARTO’s Analytics Toolbox from the Snowflake Marketplace. This will share UDFs (User defined functions) to your account which will allow you to perform even more geospatial analytics.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESimilar to how you did with the data in the previous steps, navigate to the \u003Ccode\u003EMarketplace\u003C/code\u003E screen using the menu on the left side of the window\u003C/li\u003E\u003Cli\u003ESearch for\u003Ccode\u003ECARTO\u003C/code\u003E in the search bar\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_21.png\" alt=\"assets/geo_analysis_geometry_21.png\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EFind and click the\u003Ccode\u003EAnalytics Toolbox\u003C/code\u003E  tile\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_22.png\" alt=\"assets/geo_analysis_geometry_22.png\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EClick on big blue\u003Ccode\u003EGet\u003C/code\u003E  button\u003C/li\u003E\u003Cli\u003EIn the options, name the database \u003Ccode\u003ECARTO\u003C/code\u003E and optionally add more roles that can access the database\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_24.png\" alt=\"assets/geo_analysis_geometry_24.png\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EClick on \u003Ccode\u003EGet\u003C/code\u003E and then \u003Ccode\u003EDone\u003C/code\u003E.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ECongratulations! Now you have data and the analytics toolbox!\u003C/p\u003E\n","\u003Ch2\u003ELoad Data from External Storage\u003C/h2\u003E\n","\u003Cp\u003ENow that you understand how to get data from Marketplace, let's try another way of getting data, namely, getting it from the external S3 storage. While you loading data you will learn formats supported by geospatial data types.\u003C/p\u003E\n","\u003Cp\u003EFor this quickstart we have prepared a dataset with energy grid infrastructure (cable lines) in the Netherlands. It is stored in the CSV format in the public S3 bucket. To import this data, create an external stage using the following SQL command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE STAGE geolab.geometry.geostage\n  URL = 's3://sfquickstarts/vhol_spatial_analysis_geometry_geography/';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow you will create a new table using the file from that stage. Run the following queries to create a new file format and a new table using the dataset stored in the Stage:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E// Create file format\nCREATE OR REPLACE FILE FORMAT geocsv TYPE = CSV SKIP_HEADER = 1 FIELD_OPTIONALLY_ENCLOSED_BY = '"';\n\nCREATE OR REPLACE TABLE geolab.geometry.nl_cables_stations AS \nSELECT to_geometry($1) AS geometry, \n       $2 AS id, \n       $3 AS type \nFROM @geostage/nl_stations_cables.csv (file_format => 'geocsv');\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ELook at the description of the table you just created by running the following queries:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EDESC TABLE geolab.geometry.nl_cables_stations;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/desc.html\"\u003Edesc or describe\u003C/a\u003E command shows you the definition of the view, including the columns, their data type, and other relevant details. Notice the \u003Ccode\u003Egeometry\u003C/code\u003E column is defined as \u003Ccode\u003EGEOMETRY\u003C/code\u003E type.\u003C/p\u003E\n","\u003Cp\u003ESnowflake supports 3 primary geospatial formats and 2 additional variations on those formats. They are:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EGeoJSON\u003C/strong\u003E: a JSON-based standard for representing geospatial data\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EWKT & EWKT\u003C/strong\u003E: a "Well Known Text" string format for representing geospatial data and the "Extended" variation of that format\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EWKB & EWKB:\u003C/strong\u003E a "Well Known Binary" format for representing geospatial data in binary and the "Extended" variation of that format\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThese formats are supported for ingestion (files containing those formats can be loaded into a \u003Ccode\u003EGEOMETRY\u003C/code\u003E typed column), query result display, and data unloading to new files. You don't need to worry about how Snowflake stores the data under the covers but rather how the data is displayed to you or unloaded to files through the value of session variables called \u003Ccode\u003EGEOMETRY_OUTPUT_FORMAT\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003ERun the queries below to make sure the current format is GeoJSON.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E// Set the output format to GeoJSON\nALTER SESSION SET geometry_output_format = 'GEOJSON';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/alter-session.html\"\u003Ealter session\u003C/a\u003E command lets you set a parameter for your current user session, which in this case is  \u003Ccode\u003EGEOMETRY_OUTPUT_FORMAT\u003C/code\u003E. The default value for those parameters is \u003Ccode\u003E'GEOJSON'\u003C/code\u003E, so normally you wouldn't have to run this command if you want that format, but this guide wants to be certain the next queries are run with the \u003Ccode\u003E'GEOJSON'\u003C/code\u003E output.\u003C/p\u003E\n","\u003Cp\u003ENow run the following query against the \u003Ccode\u003Enl_cables_stations\u003C/code\u003E table to see energy grids in the Netherlands.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT geometry\nFROM nl_cables_stations\nLIMIT 10;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIn the result set, notice the \u003Ccode\u003Egeometry\u003C/code\u003E column and how it displays a JSON representation of spatial objects. It should look similar to this:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E{"coordinates": [[[1.852040750000000e+05, 3.410349640000000e+05], [1.852044840000000e+05,3.410359860000000e+05]], [[1.852390240000000e+05,3.411219340000000e+05], ... ,[1.852800600000000e+05,3.412219960000000e+05]]   ], "type": "MultiLineString" }\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EUnlike \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E, which treats all points as longitude and latitude on a spherical earth, \u003Ccode\u003EGEOMETRY\u003C/code\u003E considers the Earth as a flat surface. More information about Snowflake's specification can be found \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/data-types-geospatial.html\"\u003Ehere\u003C/a\u003E.\nIn this example it uses scientific notation and the numbers are much larger than latitude and longitude boundaries [-180; 180].\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_14.png\" alt=\"assets/geo_analysis_geometry_14.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow look at the same query but in a different format. Run the following query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E// Set the output format to EWKT\nALTER SESSION SET geometry_output_format = 'EWKT';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ERun the previous \u003Ccode\u003ESELECT\u003C/code\u003E query again and when done, examine the output in the \u003Ccode\u003Egeometry\u003C/code\u003E column.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT geometry\nFROM nl_cables_stations\nLIMIT 10;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EEWKT looks different from GeoJSON, and is arguably more readable. Here you can more clearly see the \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/data-types-geospatial.html#geospatial-object-types\"\u003Egeospatial object types\u003C/a\u003E, which are represented below in the example output:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESRID=28992;MULTILINESTRING((185204.075 341034.964,185204.484 341035.986), ... ,(185276.402 341212.688,185279.319 341220.196,185280.06 341221.996))\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EEWKT also shows the spatial reference identifier and in our example, you have a dataset in \u003Ca href=\"https://epsg.io/28992\"\u003EAmersfoort / RD New\u003C/a\u003E spatial reference system, that is why the displayed SRID is 28992.\u003C/p\u003E\n","\u003Cp\u003ELastly, look at the WKB output. Run the following query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E// Set the output format to WKB\nALTER SESSION SET geometry_output_format = 'WKB';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ERun the query again, and click on a cell in the \u003Ccode\u003Egeometry\u003C/code\u003E column.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT geometry \nFROM nl_cables_stations \nLIMIT 10;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENotice how WKB is incomprehensible to a human reader. However, this format is handy in data loading/unloading, as it can be more compact than WKT or GeoJSON.\u003C/p\u003E\n","\u003Ch2\u003ELoad Data from Internal Storage\u003C/h2\u003E\n","\u003Cp\u003ENow that you have a basic understanding of how the \u003Ccode\u003EGEOMETRY\u003C/code\u003E data type works and what a geospatial representation of data looks like in various output formats, it's time to walk through a scenario that requires you to use constructors to load data.  You will do it while trying one more way of getting data, namely, from the Shapefile file stored in the internal stage.\u003C/p\u003E\n","\u003Cp\u003EFirst download \u003Ca href=\"https://sfquickstarts.s3.us-west-1.amazonaws.com/vhol_spatial_analysis_geometry_geography/nl_areas.zip\"\u003Ethis\u003C/a\u003E Shapefile which contains the boundaries of administrative areas in the Netherlands.\nThen in the navigation menu, select Data > Databases, choose \u003Ccode\u003EGEOLAB.GEOMETRY\u003C/code\u003E, and click Create > Stage > Snowflake Managed.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_9.png\" alt=\"assets/geo_analysis_geometry_9.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIn the new Window, use the name stageshp and click \u003Ccode\u003ECreate\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo-analysis-geometry-10.png\" alt=\"assets/geo-analysis-geometry-10.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThen select the newly created Stage and click \u003Ccode\u003E+ Files\u003C/code\u003E to upload a new file.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_11.png\" alt=\"assets/geo_analysis_geometry_11.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EBrowse the file you just downloaded and click  \u003Ccode\u003EUpload\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003EThe file you just uploaded contains the polygons of administrative boundaries in the Netherlands. The data is stored in \u003Ca href=\"https://en.wikipedia.org/wiki/Shapefile\"\u003EShapefile format\u003C/a\u003E which is not yet supported by Snowflake. But you can load this file using Python UDF and \u003Ca href=\"https://docs.snowflake.com/developer-guide/udf/python/udf-python-examples#label-udf-python-read-files\"\u003EDynamic File Access feature\u003C/a\u003E. You will also use some packages available in the Snowflake Anaconda channel.\u003C/p\u003E\n","\u003Cp\u003ERun the following query that creates a UDF:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE FUNCTION py_load_geodata(PATH_TO_FILE string, filename string)\nRETURNS TABLE (wkt varchar, properties object)\nLANGUAGE PYTHON\nRUNTIME_VERSION = 3.8\nPACKAGES = ('fiona', 'shapely', 'snowflake-snowpark-python')\nHANDLER = 'GeoFileReader'\nAS $$\nfrom shapely.geometry import shape\nfrom snowflake.snowpark.files import SnowflakeFile\nfrom fiona.io import ZipMemoryFile\nclass GeoFileReader:        \n    def process(self, PATH_TO_FILE: str, filename: str):\n    \twith SnowflakeFile.open(PATH_TO_FILE, 'rb') as f:\n    \t\twith ZipMemoryFile(f) as zip:\n    \t\t\twith zip.open(filename) as collection:\n    \t\t\t\tfor record in collection:\n    \t\t\t\t\tyield (shape(record['geometry']).wkt, dict(record['properties']))\n$$;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis UDF reads a Shapefile and returns its content as a table. Under the hood it uses geospatial libraries \u003Ccode\u003Efiona\u003C/code\u003E and \u003Ccode\u003Eshapely\u003C/code\u003E.\nRun the following query to see the content of the uploaded shapefile.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E// Setting EWKT as an output format\nALTER SESSION SET geometry_output_format = 'EWKT';\n\nSELECT to_geometry(wkt) AS geometry,\n       properties:NAME_1::string AS province_name,\n       properties:NAME_2::string AS municipality_name\nFROM table(py_load_geodata(build_scoped_file_url(@stageshp, 'nl_areas.zip'), 'nl_areas.shp'));\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis query fails with the error: \u003Cem\u003EGeometry validation failed: Geometry has invalid self-intersections. A self-intersection point was found at (559963, 5.71069e+06)\u003C/em\u003E.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EThe constructor function determines if the shape is valid according to the \u003Ca href=\"https://www.ogc.org/standards/sfa\"\u003EOpen Geospatial Consortium’s Simple Feature Access / Common Architecture\u003C/a\u003E standard. If the shape is invalid, the function reports an error and does not create the GEOMETRY object. That is what happened in our example.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ETo fix this you can allow the ingestion of invalid shapes by setting the corresponding parameter to True. Let's run the SELECT statement again, but update the query to see how many shapes are invalid. Run the following query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT to_geometry(s => wkt, allowInvalid => True) AS geometry,\n       st_isvalid(geometry) AS is_valid,\n       properties:NAME_1::string AS province_name,\n       properties:NAME_2::string AS municipality_name\nFROM table(py_load_geodata(build_scoped_file_url(@stageshp, 'nl_areas.zip'), 'nl_areas.shp'))\nORDER BY is_valid ASC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_15_1.png\" alt=\"assets/geo_analysis_geometry_15_1.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThis query completed without error and now you see that the shape of the province Zeeland is invalid. Let's try to repair it by applying the \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/st_buffer\"\u003EST_BUFFER\u003C/a\u003E function with a small value for the buffer distance.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT st_buffer(to_geometry(s => wkt, allowInvalid => True), -1) AS geometry,\n       st_isvalid(geometry) AS is_valid,\n       properties:NAME_1::string AS province_name,\n       properties:NAME_2::string AS municipality_name\nFROM table(py_load_geodata(build_scoped_file_url(@stageshp, 'nl_areas.zip'), 'nl_areas.shp'))\nORDER BY is_valid ASC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_15.png\" alt=\"assets/geo_analysis_geometry_15.png\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EUsing ST_BUFFER with some small positive or negative value for the distance \u003Cem\u003Esometimes\u003C/em\u003E can help to fix invalid shapes. However, you should remember that the unit of measurement for the distance parameter in the ST_BUFFER will be the same as your data. Therefore, if your data utilizes lon/lat values, the distance's units will also be degrees.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ENow all shapes are valid and the data is ready to be ingested. One additional thing you should do is to set SRID, since otherwise it will be set to 0. This dataset is in the reference system \u003Ca href=\"https://epsg.io/32231\"\u003EWGS 72 / UTM zone 31N\u003C/a\u003E, so it makes sense to add the SRID=32231 to the constructor function.\u003C/p\u003E\n","\u003Cp\u003ERun the following query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE TABLE geolab.geometry.nl_administrative_areas AS\nSELECT st_buffer(to_geometry(s => wkt, srid => 32231, allowinvalid => true), -1) AS geometry,\n       (CASE WHEN properties:TYPE_1::string IS NULL THEN 'Municipality' ELSE 'Province' END) AS type,\n       properties:NAME_1::string AS province_name,\n       properties:NAME_2::string AS municipality_name\nFROM TABLE(py_load_geodata(build_scoped_file_url(@stageshp, 'nl_areas.zip'), 'nl_areas.shp'));\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EExcellent! Now that all the datasets are successfully loaded, let's proceed to the next exciting step: the analysis.\u003C/p\u003E\n<!-- ----------------------------------------- -->\n","\u003Ch2\u003ESpatial analysis\u003C/h2\u003E\n","\u003Cp\u003ETo showcase the capabilities of the GEOMETRY data type, you will explore several use cases. In these scenarios, you'll assume you are an analyst working for an energy utilities company responsible for maintaining electrical grids.\u003C/p\u003E\n","\u003Ch3\u003EWhat is the length of the electricity cables?\u003C/h3\u003E\n","\u003Cp\u003EIn the first use case you will calculate the length of electrical cables your organization is responsible for in each administrative area within the Netherlands. You'll be utilizing two datasets: with power infrastructure of the Netherlands and the borders of Dutch administrative areas. First, let's check the sample of each dataset.\u003C/p\u003E\n","\u003Cp\u003ERun the following query to see the content of \u003Ccode\u003Enl_cables_stations\u003C/code\u003E table:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT geometry, type\nFROM geolab.geometry.nl_cables_stations\nLIMIT 5;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe results look similar to this:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_16.png\" alt=\"assets/geo_analysis_geometry_16.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe spatial data is stored using the \u003Ccode\u003EGEOMETRY\u003C/code\u003E data type and employs the Dutch mapping system, \u003Ccode\u003EAmersfoort / RD New\u003C/code\u003E (SRID = 28992). To view the contents of the table containing the boundaries of the administrative areas in the Netherlands, execute the following query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT *\nFROM geolab.geometry.nl_administrative_areas\nLIMIT 5;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_17.png\" alt=\"assets/geo_analysis_geometry_17.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIn order to compute the length of all cables per administrative area, it's essential that both datasets adhere to the same mapping system. You have two options: either project \u003Ccode\u003Enl_administrative_areas\u003C/code\u003E to SRID 28992, or project \u003Ccode\u003Enl_cables_stations\u003C/code\u003E to SRID 32231. For this exercise, let's choose the first option.\u003C/p\u003E\n","\u003Cp\u003ERun the following query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT t1.province_name,\n       sum(st_length(t2.geometry)) AS cables_length\nFROM geolab.geometry.nl_administrative_areas AS t1,\n     geolab.geometry.nl_cables_stations AS t2\nWHERE st_intersects(st_transform(t1.geometry, 28992), t2.geometry)\n  AND t1.type = 'Province'\nGROUP BY 1\nORDER BY 2 DESC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_18.png\" alt=\"assets/geo_analysis_geometry_18.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou have five areas densely covered by electricity cables, those are the ones that your company is responsible for. For your first analysis, you will focus on these areas.\u003C/p\u003E\n","\u003Ch3\u003EWhat cell towers lack electricity cables nearby\u003C/h3\u003E\n","\u003Cp\u003EIn many areas, especially rural or remote ones, cell towers might be located far from electricity grids. This can pose a challenge in providing a reliable power supply to these towers. They often rely on diesel generators, which can be expensive to operate and maintain and have environmental implications. Furthermore, power outages can lead to disruptions in mobile connectivity, impacting individuals, businesses, and emergency services.\u003C/p\u003E\n","\u003Cp\u003EOur analysis aims to identify mobile cell towers that are not near an existing electricity grid. This information could be used to prioritize areas for grid expansion, to improve the efficiency of renewable energy source installations (like solar panels or wind turbines), or to consider alternative energy solutions.\u003C/p\u003E\n","\u003Cp\u003EFor this and the next examples let's use \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E data type as it can be easily visualized using CARTO. As a first step, let's create \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E equivalents for the energy grids and boundaries tables. For that you need to project the \u003Ccode\u003Egeometry\u003C/code\u003E column in each of the tables into the mapping system WGS 84 (SRID=4326) and then convert to \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E data type. Run the following queries that create new tables and enable search optimization for each of them in order to increase the performance of spatial operations.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E// Creating a table with GEOGRAPHY for nl_administrative_areas\nCREATE OR REPLACE SCHEMA GEOLAB.GEOGRAPHY;\n\nCREATE OR REPLACE TABLE geolab.geography.nl_administrative_areas AS\nSELECT to_geography(st_asgeojson(st_transform(geometry, 4326))) AS geom,\n       type,\n       province_name,\n       municipality_name\nFROM geolab.geometry.nl_administrative_areas\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.nl_administrative_areas ADD SEARCH OPTIMIZATION ON GEO(geom);\n\n// Creating a table with GEOGRAPHY for nl_cables_stations\nCREATE OR REPLACE TABLE geolab.geography.nl_cables_stations AS\nSELECT to_geography(st_asgeojson(st_transform(geometry, 4326))) AS geom,\n       id,\n       type\nFROM geolab.geometry.nl_cables_stations\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.nl_cables_stations ADD SEARCH OPTIMIZATION ON GEO(geom);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can now go to the CARTO account and visualize administrative areas and cable information in CARTO Builder.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECreate a new map. Use the navigation menu on the left to get to Maps and then click on (+) New Map.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_27.png\" alt=\"assets/geo_analysis_geometry_27.png\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EClick on the \u003Ccode\u003EAdd Source From\u003C/code\u003E → \u003Ccode\u003EData Explorer\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_28.png\" alt=\"assets/geo_analysis_geometry_28.png\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EIn the pop-up select your connection and the \u003Ccode\u003EGEOLAB.GEOGRAPHY.NL_ADMINISTRATIVE_AREAS\u003C/code\u003E table.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_29.png\" alt=\"assets/geo_analysis_geometry_29.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EClick on the newly created layer and unselect "Fill Color" toggle to see the boundaries of the areas on the map.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_30.gif\" alt=\"assets/geo_analysis_geometry_30.gif\"\u003E\u003C/p\u003E\n","\u003Cp\u003ESimilarly you can visualize the \u003Ccode\u003EGEOLAB.GEOGRAPHY.NL_CABLES_STATIONS\u003C/code\u003E table.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_31.gif\" alt=\"assets/geo_analysis_geometry_31.gif\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow you will create a table with locations of cell towers stored as GEOGRAPHY and enable search optimization, just like for the previous two tables. Run the following query in your Snowflake's worksheet:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE TABLE geolab.geography.nl_lte AS\nSELECT DISTINCT st_point(lon, lat) AS geom,\n                cell_range\nFROM OPENCELLID.PUBLIC.RAW_CELL_TOWERS t1\nWHERE mcc = '204' -- 204 is the mobile country code in the Netherlands\n  AND radio='LTE'\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.nl_lte ADD SEARCH OPTIMIZATION ON GEO(geom); \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFinally, you will find all cell towers that don't have an energy line within a 2-kilometer radius. For each cell tower you'll calculate the distance to the nearest electricity cable. In CARTO Builder click on the Add \u003Ccode\u003ESource From\u003C/code\u003E → \u003Ccode\u003ECustom Query (SQL)\u003C/code\u003E and make sure you have selected the Snowflake Connection that you have created in previous steps.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_32.gif\" alt=\"assets/geo_analysis_geometry_32.gif\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThen paste the following query and click on the green \u003Ccode\u003ERun\u003C/code\u003E button.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT province_name,\n       cells.geom\nFROM geolab.geography.nl_lte cells\nLEFT JOIN geolab.geography.nl_cables_stations cables \n  ON st_dwithin(cells.geom, cables.geom, 2000)\nJOIN geolab.geography.nl_administrative_areas areas \n  ON st_contains(areas.geom, cells.geom)\nWHERE areas.type = 'Province'\n  AND areas.province_name in ('Noord-Brabant', 'Overijssel', 'Limburg', 'Groningen', 'Drenthe')\n  AND cables.geom IS NULL;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can modify the colors of cell towers in the output and expand their radius in order to enhance their visibility.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_33.gif\" alt=\"assets/geo_analysis_geometry_33.gif\"\u003E\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EAdvanced Analysis using Spatial Joins and H3\u003C/h2\u003E\n","\u003Cp\u003EIn the previous section you've found cell towers that don't have electricity cables nearby. But what about answering more sophisticated questions, like what areas in the Netherlands have very good and bad coverage by LTE (4G) network? You can use geospatial functions combined with spatial join and H3 functions.\u003C/p\u003E\n","\u003Ch3\u003EWhat municipalities in the Netherlands have good/poor LTE coverage?\u003C/h3\u003E\n","\u003Cp\u003EYou have been using \u003Ccode\u003Enl_lte\u003C/code\u003E table, which stores the locations of cell towers. To find municipalities in the Netherlands with good and bad coverage by LTE network, you will undertake a two-step process as follows:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EFor every LTE cell tower, you will calculate the coverage area.\u003C/li\u003E\u003Cli\u003EFor every Dutch municipality, calculate the area covered by the LTE network.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Ccode\u003EST_BUFFER\u003C/code\u003E from the Carto toolbox can be used to calculate the coverage area for each LTE cell tower. In the \u003Ccode\u003Enl_lte\u003C/code\u003E table, there is a field \u003Ccode\u003Ecell_range\u003C/code\u003E which can be used as a value of radius in \u003Ccode\u003EST_BUFFER\u003C/code\u003E. For the sake of this example you will assume that a good signal can be received no further than 2000 meters away from the LTE cell.\u003C/p\u003E\n","\u003Cp\u003ERun the following two queries in your Snowflake's worksheet:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE TABLE geolab.geography.nl_lte_with_coverage AS\nSELECT geom,\n       cell_range,\n       carto.carto.st_buffer(geom, least(cell_range, 2000), 5) AS coverage\nFROM geolab.geography.nl_lte\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.nl_lte_with_coverage ADD SEARCH OPTIMIZATION ON GEO(geom); \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow there is a new column named \u003Ccode\u003Ecoverage\u003C/code\u003E that contains a polygon representing the area covered by each cell tower's signal. Let's create a new map in the CARTO Builder and run the following query to visualize the coverage for one of the municipalities:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT c.coverage AS geom\nFROM geolab.geography.nl_lte_with_coverage c\nJOIN geolab.geography.nl_administrative_areas b \n  ON st_intersects(b.geom, c.geom)\nWHERE TYPE = 'Municipality'\n  AND municipality_name = 'Angerlo';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe result of this query is a number of overlapping circles:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_20.gif\" alt=\"assets/geo_analysis_geometry_20.gif\"\u003E\u003C/p\u003E\n","\u003Cp\u003ETo calculate the coverage of each district by LTE network, you can create a user-defined Python function that calculates an aggregated union and uses the Shapely library under the hood. Run the following query from Snowflake Worksheets:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE FUNCTION geolab.geography.py_union_agg(g1 array)\nRETURNS GEOGRAPHY\nLANGUAGE PYTHON\nRUNTIME_VERSION = 3.8\nPACKAGES = ('shapely')\nHANDLER = 'udf'\nAS $$\nfrom shapely.ops import unary_union\nfrom shapely.geometry import shape, mapping\ndef udf(g1):\n    shape_union = unary_union([shape(i) for i in g1])\n    shape_union = shape_union.simplify(0.000001)\n    return mapping(shape_union)\n$$;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe function above gets an array of spatial objects and returns a single large shape which is a union of all initial shapes. Now run the following query from the CARTO Builder:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT geolab.geography.py_union_agg(array_agg(st_asgeojson(c.coverage))) AS geom\nFROM geolab.geography.nl_lte_with_coverage c\nJOIN geolab.geography.nl_administrative_areas b \n  ON st_intersects(b.geom, c.geom)\nWHERE type = 'Municipality'\nAND municipality_name = 'Angerlo';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENote how the result of this function returns a single polygon covering the same area without overlaps.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_20_1.png\" alt=\"assets/geo_analysis_geometry_20_1.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003ELet's now for every municipality compute the following:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EThe area that is covered by the LTE network\u003C/li\u003E\u003Cli\u003EThe numerical value of coverage ratio by the LTE network\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EUse the table \u003Ccode\u003Enl_lte_with_coverage\u003C/code\u003E, and first join it with \u003Ccode\u003Enl_administrative_areas\u003C/code\u003E using \u003Ccode\u003EST_INTERSECTS\u003C/code\u003E predicate to match cell towers to the municipalities they cover. Then you use \u003Ccode\u003EPY_UNION_AGG\u003C/code\u003E to get a combined coverage polygon. Then use \u003Ccode\u003EST_INTERSECTION\u003C/code\u003E to find a portion of the municipality that is covered by the LTE signal. Then you compute the covered area in square meters. The result will be saved in the new table. To speed up queries against that newly created table, you will enable the search optimization feature.\u003C/p\u003E\n","\u003Cp\u003ERun the following two queries:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE TABLE geolab.geography.nl_municipalities_coverage AS\nSELECT municipality_name,\n       any_value(geom) AS municipality_geom,\n       st_intersection(municipality_geom, \n                       geolab.geography.py_union_agg(array_agg(st_asgeojson(coverage)))) AS coverage_geom,\n       round(st_area(coverage_geom)/st_area(municipality_geom), 2) AS coverage_ratio\nFROM\n  (SELECT c.coverage AS coverage,\n          b.municipality_name AS municipality_name,\n          b.geom\n   FROM geolab.geography.nl_lte_with_coverage c\n   INNER JOIN geolab.geography.nl_administrative_areas b \n      ON st_intersects(b.geom, c.coverage)\n   WHERE TYPE = 'Municipality')\nGROUP BY municipality_name\nORDER BY st_geohash(municipality_geom);\n\nALTER TABLE geolab.geography.nl_municipalities_coverage ADD SEARCH OPTIMIZATION ON GEO(municipality_geom);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENice! Now you have a \u003Ccode\u003Enl_municipalities_coverage\u003C/code\u003E table that contains the name of the municipality, the boundaries of that municipality, and the boundaries of the LTE coverage area. Let's visualize this in Carto. Paste the following query into the SQL editor and use the \u003Ccode\u003Ecoverage_ratio\u003C/code\u003E column to color code the coverage areas.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT coverage_geom AS geom,\n       coverage_ratio\nFROM geolab.geography.nl_municipalities_coverage;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_19.gif\" alt=\"assets/geo_analysis_geometry_19.gif\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EWhat percent of the Dutch highways have LTE coverage?\u003C/h3\u003E\n","\u003Cp\u003ENow imagine you want to calculate what percentage of highways in the Netherlands are covered by the LTE network. To get the number, you can employ the \u003Ccode\u003ENetherlands Open Map Data\u003C/code\u003E dataset that has NL motorways.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EAt this point you need to use Open Street Map data for the Netherlands. If you had to skip importing this table because the data was not ready please go back to that step. The data should be available by now.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ERun the following query in your Snowflake worksheet:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT sum(st_length(st_intersection(coverage.coverage_geom, roads.geo_cordinates))) AS covered_length,\n       sum(st_length(st_intersection(coverage.municipality_geom, roads.geo_cordinates))) AS total_length,\n       round(100 * covered_length / total_length, 2) AS "Coverage, %"\nFROM osm_nl.netherlands.v_road roads,\n     geolab.geography.nl_municipalities_coverage coverage\nWHERE st_intersects(coverage.municipality_geom, roads.geo_cordinates)\n  AND roads.class in ('primary', 'motorway');\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIt seems your LTE network covers almost 100% of the highways. A good number to call out in a marketing campaign.\u003C/p\u003E\n","\u003Ch3\u003EEstimating the quality of LTE signal on Dutch highways\u003C/h3\u003E\n","\u003Cp\u003EIn the previous section you found that almost all highways in the Netherlands are within a range of LTE towers. But the LTE signal may have a different quality depending on how close the tower is or how many towers are in reach. The next question you may ask as an analysis is what motorways in the NL have poor signal quality.\u003C/p\u003E\n","\u003Cp\u003EFor this you need to build a signal decay model. You will use H3 to represent signal distribution around the cell towers.\u003C/p\u003E\n","\u003Cp\u003EIn the query below, the first CTE uses the \u003Ccode\u003EH3_POINT_TO_CELL\u003C/code\u003E function to compute the H3 cell id for each cell tower. It also estimates the distance in H3 cells around the tower based on the cell's range. The distance is calculated by dividing the \u003Ccode\u003Ecell_range\u003C/code\u003E by 400 meters, which represents the spacing between H3 cells at resolution 9.\u003C/p\u003E\n","\u003Cp\u003ENow that you know the H3 cell for each LTE tower you can find its neighboring H3 cells and estimate signal strength in them. First, you will apply the \u003Ccode\u003EH3_GRID_DISK\u003C/code\u003E function to compute all neighboring H3 cells within a certain distance from a given H3 cell. Since \u003Ccode\u003EH3_GRID_DISK\u003C/code\u003E yields an array, you must use the lateral join to flatten these arrays. Then you will create a decay function based on the H3 distance, so you need to determine the maximum H3 distance for each antenna. You can then group the data by H3 cell and choose the highest signal strength within that cell. Multiple towers can cover the same H3 cell multiple times; thus, you will select the one with the strongest signal.\u003C/p\u003E\n","\u003Cp\u003EThe signal will range from 0 (poor) to 100 (strongest). The model multiplies the "starting signal strength" of 100 by the distance between the antenna and the H3 cell, and it adds more noise as the H3 cell is further away.\u003C/p\u003E\n","\u003Cp\u003EOrdering by H3 will enable CARTO to execute queries faster, which is beneficial for visualization purposes.\u003C/p\u003E\n","\u003Cp\u003ERun the following query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE TABLE geolab.geography.nl_lte_coverage_h3 AS\n// First estimate compute H3 cells and estimate number of H3 cells within range\nWITH nl_lte_h3 AS (\n    SELECT row_number() OVER(ORDER BY NULL) AS id,\n           cell_range,\n           H3_POINT_TO_CELL(geom, 9)::int AS h3,\n           round(least(cell_range, 2000) / 400)::int AS h3_cell_range\n    FROM geolab.geography.nl_lte\n),\n// Find all neighboring cells and calculate signal strength in them\nh3_neighbors AS (\n  SELECT id,\n         p.value::int AS h3,\n         H3_GRID_DISTANCE(n.h3, p.value::int) AS H3_GRID_DISTANCE,\n         // decay model for signal strength:\n         100 * pow(1 - H3_GRID_DISTANCE / (h3_cell_range + 1), 2) AS signal_strength\n  FROM nl_lte_h3 n,\n       table(flatten(INPUT => H3_GRID_DISK(n.h3, h3_cell_range))) p)\nSELECT h3, \n       // maximum signal strength with noise:\n       max(signal_strength) * uniform(0.8, 1::float, random()) AS signal_strength\nFROM h3_neighbors\nGROUP BY h3\nORDER BY h3;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow that you have created your signal decay model, let’s visualize it in CARTO. For that, you can just run the following query from the query console into a new map.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT h3,\n       signal_strength\nFROM geolab.geography.nl_lte_coverage_h3;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003ENote that you don’t have a \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E on this query. This is because CARTO has native support of H3 and can show the H3 geography representation on the browser without the need to store and move the geography from the database to the browser.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EAs you create an H3 layer you will need to configure the layer type from the query console:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_34.gif\" alt=\"assets/geo_analysis_geometry_34.gif\"\u003E\u003C/p\u003E\n","\u003Cp\u003EH3 layers allow us to show aggregated information at different resolutions for different zoom levels. Because of this, when you style the layer, you need to decide on an aggregation method for the attribute to show, in this example you will use \u003Ccode\u003Esignal_strength\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_35.png\" alt=\"assets/geo_analysis_geometry_35.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003ERemember to select a color palette of your liking and the color scale (the default is custom but you want to \u003Cem\u003EQuantize\u003C/em\u003E bins for this use case).\nYou can also change the relation between the zoom level and the resolution. The higher the resolution configuration, the more granularity you will see on the map but it will also take longer to load. Select resolution 5.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_36.gif\" alt=\"assets/geo_analysis_geometry_36.gif\"\u003E\u003C/p\u003E\n","\u003Cp\u003ELet’s now use the road network from \u003Ccode\u003ENL Open Map Data\u003C/code\u003E to see which road segments have good coverage and which do not.\nTo intersect the road layer with the H3 signal strength layer you need to find H3 cells covering all motorways in the NL.\u003C/p\u003E\n","\u003Cp\u003EThe query below demonstrates one way of doing this. First, you split the road geometries into simple segments and compute the H3 index for in the middle of each segment. Then you aggregate all segments back. Run the following query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE table geolab.geography.nl_roads_h3 AS \n// import roads from OSM:\nWITH roads AS (\n  SELECT row_number() over(ORDER BY NULL) AS road_id,\n        geo_cordinates AS geom\n  FROM OSM_NL.NETHERLANDS.V_ROAD roads\n  WHERE class IN ('primary', 'motorway')\n    AND st_dimension(geo_cordinates) = 1\n),\n// In order to compute H3 cells corresponding to each road you need to first\n// split roads into the line segments. You do it using the ST_POINTN function\nsegments AS (\n  SELECT road_id,\n          value::integer AS segment_id,\n          st_makeline(st_pointn(geom, segment_id), st_pointn(geom, segment_id + 1)) AS SEGMENT,\n          geom,\n          H3_POINT_TO_CELL(st_centroid(SEGMENT), 9)::int AS h3_center\n  FROM roads,\n       LATERAL flatten(array_generate_range(1, st_npoints(geom)))) \n// Next table build the H3 cells covering the roads\n// For each line segment you find a corresponding H3 cell and then aggregate by road id and H3\n// At this point you switched from segments to H3 cells covering the roads.\nSELECT road_id,\n       h3_center AS h3,\n       any_value(geom) AS road_geometry\nFROM segments\nGROUP BY 1, 2\nORDER BY h3;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf you visualize table \u003Ccode\u003EGEOLAB.GEOGRAPHY.NL_ROADS_H3\u003C/code\u003E in CARTO Builder (\u003Ccode\u003EAdd Source From\u003C/code\u003E → \u003Ccode\u003EData Explorer\u003C/code\u003E) you will see tessellated roads.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_39.png\" alt=\"assets/geo_analysis_geometry_39.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow you use the signal decay model that you built previously to estimate the average signal along each highway. For this you need to join two tables (tessellated highways and the signal strength) using H3 cell id and aggregate the result by road id.\u003C/p\u003E\n","\u003Cp\u003ERun the following two queries.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE TABLE geolab.geography.osm_nl_not_covered AS\nSELECT road_id,\n       any_value(road_geometry) AS geom,\n       avg(ifnull(signal_strength, 0.0)) AS avg_signal_strength,\n       iff(avg_signal_strength >= 50, 'OK Signal', 'No Signal') AS signal_category\nFROM geolab.geography.nl_roads_h3 roads_h3\nLEFT JOIN geolab.geography.nl_lte_coverage_h3 cells ON roads_h3.h3 = cells.h3\nGROUP BY road_id\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.osm_nl_not_covered ADD SEARCH OPTIMIZATION ON GEO(geom);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow that you have classified road segments by signal and no signal, you can run the following simple query to get the length of each geography in meters:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT signal_category,\n       SUM(ST_LENGTH(geom)/1000)::int AS total_km\nFROM geolab.geography.osm_nl_not_covered\nGROUP BY signal_category;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou now know that you have 14,601 km with good coverage and 1,667 with poor/no coverage. Interestingly, that is about 13 % of the NL roads!\u003C/p\u003E\n","\u003Cp\u003ELastly, with this layer, you can add it to your CARTO map and visualize the road segment according to the \u003Ccode\u003ESIGNAL_CATEGORY\u003C/code\u003E feature you created.\u003C/p\u003E\n","\u003Cp\u003EFor this, you can add the layer via \u003Ccode\u003EAdd source from\u003C/code\u003E → \u003Ccode\u003EData Explorer\u003C/code\u003E. Then select your connection and the \u003Ccode\u003EGEOLAB.GEOGRAPHY.OSM_NL_NOT_COVERED\u003C/code\u003E table.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_38.png\" alt=\"assets/geo_analysis_geometry_38.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EOnce you have your second layer on the map, you can click on it to style it and show the stroke color based on your \u003Ccode\u003ESIGNAL_CATEGORY\u003C/code\u003E column. To do that, create a “Custom palette” with just two colors: gray for roads with good signal and red for roads with no/poor signal.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_37.gif\" alt=\"assets/geo_analysis_geometry_37.gif\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EYou may feel that these last several queries were a bit long and repetitive, but remember that the intention of this guide was to walk you through the progression of building these longer, more complicated queries by illustrating to you what happens at each step through the progression. By understanding how functions can be combined, it helps you to understand how you can do more advanced things with Snowflake geospatial features!\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch2\u003EConclusion\u003C/h2\u003E\n","\u003Cp\u003EIn this guide, you acquired geospatial data from the Snowflake Marketplace, explored how the GEOMETRY data type works and how it differs from the GEOGRAPHY. You converted one data type into another and queried geospatial data using parser, constructor, transformation, calculation and H3 functions on single tables and multiple tables with joins. You then saw how geospatial objects could be visualized using CARTO.\u003C/p\u003E\n","\u003Cp\u003EYou are now ready to explore the larger world of Snowflake geospatial support and geospatial functions.\u003C/p\u003E\n","\u003Ch3\u003EWhat we've covered\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to acquire a shared database from the Snowflake Marketplace and from External and internal storages.\u003C/li\u003E\u003Cli\u003EThe GEOMETRY data type, its formats GeoJSON, WKT, EWKT, WKB, and EWKB, and how to switch between them.\u003C/li\u003E\u003Cli\u003EHow to use constructors like TO_GEOMETRY, ST_MAKELINE.\u003C/li\u003E\u003Cli\u003EHow to reproject between SRIDs using ST_TRANSFORM.\u003C/li\u003E\u003Cli\u003EHow to perform relational calculations like ST_DWITHIN and ST_INTERSECTS.\u003C/li\u003E\u003Cli\u003EHow to perform measurement calculations like ST_LENGTH.\u003C/li\u003E\u003Cli\u003EHow to use set operations like ST_INTERSECTION.\u003C/li\u003E\u003Cli\u003EHow to use Python UDFs for reading Shapefiles and creating custom functions.\u003C/li\u003E\u003Cli\u003EHow to use Spatial grid and H3 functions like H3_POINT_TO_CELL, H3_GRID_DISK, H3_POLYFILL.\u003C/li\u003E\u003Cli\u003EHow to use Search Optimization to speed up geospatial queries.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/geospatial-analytics-with-snowflake-and-carto-ny/\"\u003EGeospatial Analytics for Retail with Snowflake and CARTO\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/geo-analysis-telecom/\"\u003EGeospatial Analytics for Telecom with Snowflake and CARTO\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"description":"Master Snowflake's GEOMETRY data type for geospatial analysis including energy grids, LTE coverage, and spatial queries.","title":"Geospatial Analysis using Geometry and Geography Data Type",":type":"snowflake-site/components/contentfragment","isDeveloperGuidesPage":false,":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ----------------------------------------- --\u003E\n## Overview \n\n\nGeospatial query capabilities in Snowflake are built upon a combination of data types and specialized query functions that can be used to parse, construct, and run calculations over geospatial objects. This guide will introduce you to the `GEOMETRY` data type, help you understand geospatial formats supported by Snowflake and walk you through the use of a variety of functions on sample geospatial data sets. \n\n### Prerequisites\n* Quick Video [Introduction to Snowflake](https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.)\n* Snowflake [Data Loading Basics](https://www.youtube.com/watch?v=us6MChC8T9Y&ab_channel=SnowflakeInc.) Video\n* [CARTO in a nutshell ](https://docs.carto.com/getting-started/carto-in-a-nutshell)web guide\n* [CARTO Spatial Extension for Snowflake](https://www.youtube.com/watch?v=9W_Attbs-fY) video \n\n### What You’ll Learn\n* How to acquire geospatial data from the Snowflake Marketplace\n* How to load geospatial data from a Stage\n* How to interpret the `GEOMETRY` data type and how it differs from the `GEOGRAPHY`\n* How to understand the different formats that `GEOMETRY` can be expressed in\n* How to do spatial analysis using the `GEOMETRY` and `GEOGRAPHY` data types\n* How to use Python UDFs for reading Shapefiles and creating custom functions\n* How to use Global Discrete Grid and H3 functions\n* How to use Search Optimization to speed up geospatial queries\n\n### What You’ll Need\n* A supported Snowflake [Browser](https://docs.snowflake.com/en/user-guide/setup.html)\n* Sign-up for a [Snowflake Trial](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides)  OR have access to an existing Snowflake account with the `ACCOUNTADMIN` role or the `IMPORT SHARE `privilege. Select the Enterprise edition, AWS as a cloud provider and US East (Northern Virginia) or EU (Frankfurt) as a region.\n* Sign-up for a  [CARTO Trial](http://app.carto.com/signup) (OR  have access to an existing CARTO account). Select the same region (continent) as for the Snowflake account.\n\n### What You’ll Build\nA sample use case that involves energy grids and LTE cell towers in the Netherlands You will answer the following questions:\n* What is the length of all energy grids in each municipality in the Netherlands?\n* What cell towers lack electricity cables nearby?\n* What municipalities in the Netherlands have good/poor LTE coverage?\n* What percent of the Dutch highways have LTE coverage?\n* What is the estimated quality of LTE signal on Dutch highways?\n\n\u003C!-- ----------------------------------------- --\u003E\n## Setup your Account\n\n\nIf this is the first time you are logging into the Snowflake UI, you will be prompted to enter your account name or account URL that you were given when you acquired a trial. The account URL contains your [account name](https://docs.snowflake.com/en/user-guide/connecting.html#your-snowflake-account-name) and potentially the region. You can find your account URL in the email that was sent to you after you signed up for the trial.\n\nClick `Sign-in` and you will be prompted for your username and password.\n\n\u003E \n\u003E  If this is not the first time you are logging into the Snowflake UI, you should see a \"Select an account to sign into\" prompt and a button for your account name listed below it. Click the account you wish to access and you will be prompted for your username and password (or another authentication mechanism).\n\n### Increase Your Account Permission\nThe Snowflake web interface has a lot to offer, but for now, switch your current role from the default `SYSADMIN` to `ACCOUNTADMIN`. This increase in permissions will allow you to create shared databases from Snowflake Marketplace listings.\n\n\u003E \n\u003E  If you don't have the `ACCOUNTADMIN` role, switch to a role with `IMPORT SHARE` privileges instead.\n\n![assets/geo-analysis-geometry-2.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo-analysis-geometry-2.png)\n\n### Create a Virtual Warehouse\n\nYou will need to create a Virtual Warehouse to run queries.\n\n- Navigate to the `Admin \u003E Warehouses` screen using the menu on the left side of the window\n- Click the big blue `+ Warehouse` button in the upper right of the window\n- Create a Large Warehouse as shown in the screen below\n\n![assets/geo_analysis_geometry_3.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_3.png)\n\nBe sure to change the `Suspend After (min)` field to 5 min to avoid wasting compute credits.\n\n### Acknowledge the Snowflake Third Party Terms\n\nTo use the packages provided by Anaconda inside Snowflake, you must acknowledge the Snowflake Third Party Terms.\n\n* Select Admin » Billing & Terms.\n* In the Anaconda section, select Enable.\n* In the Anaconda Packages dialog, click the link to review the Snowflake Third Party Terms page.\n* If you agree to the terms, select `Acknowledge & Continue`.\n\n### Create a Database and Schema\n\nNavigate to the query editor by clicking on  `Worksheets`  on the top left navigation bar and choose your warehouse.\n* Click the + Worksheet button in the upper right of your browser window. This will open a new window.\n* In the new Window, make sure `ACCOUNTADMIN` and `MY_WH` (or whatever your warehouse is named) are selected in the upper right of your browser window.\n\n![assets/geo_analysis_geometry_13.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_13.png)\n\nCreate a new database and schema where you will store datasets in the `GEOMETRY` data type. Copy & paste the SQL below into your worksheet editor, put your cursor somewhere in the text of the query you want to run (usually the beginning or end), and either click the blue \"Play\" button in the upper right of your browser window, or press `CTRL+Enter` or `CMD+Enter` (Windows or Mac) to run the query.\n\n```\nCREATE OR REPLACE DATABASE GEOLAB;\nCREATE OR REPLACE schema GEOLAB.GEOMETRY;\n// Set the working database schema\nUSE SCHEMA GEOLAB.GEOMETRY;\n```\n\n### Connect Snowflake and Carto\n\nLet's connect your Snowflake to CARTO so you can run and visualize the queries in the following exercises of this workshop.\n\nAccess the CARTO Workspace: [app.carto.com](http://app.carto.com/)\n\nGo to the Connections section in the Workspace, where you can find the list of all your current connections.\n\n![assets/geo_analysis_geometry_25.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_25.png)\n\nTo add a new connection, click on `New connection` and follow these steps:\n\n1. Select Snowflake.\n2. Click the `Setup connection` button.\n3. Enter the connection parameters and credentials.\n\nThese are the parameters you need to provide:\n\n- **Name** for your connection: You can register different connections with the Snowflake connector. You can use the name to identify the connections.\n- **Username**: Name of the user account.\n- **Password**: Password for the user account.\n- **Account**: Hostname for your account. One way to get it is to check the Snowflake activation email, which contains the account_name within the URL ( \u003Caccount_name\u003E.snowflakecomputing.com ). Just enter what's on the account_name, i.e ok36557.us-east-2.aws\n- **Warehouse (optional)**: Default warehouse that will run your queries. Use MY_WH.\n\n\u003E \n\u003E  Use MY_WH or the name of the data warehouse you created in the previous step otherwise some queries will fail because CARTO won't know which warehouse to run them against.\n\n- **Database (optional)**. Default database to run your queries. Use GEOLAB.\n- **Role (optional)**. Default Role to run your queries. Use ACCOUNTADMIN.\n\n![assets/geo_analysis_geometry_26.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_26.png)\n\nOnce you have entered the parameters, you can click the Connect button. CARTO will try to connect to your Snowflake account. If everything is OK, your new connection will be registered.\n\n## Acquire Marketplace Data and Analytics Toolbox\n\n\nThe first step in the guide is to acquire geospatial data sets that you can freely use to explore the basics of Snowflake's geospatial functionality.  The best place to acquire this data is the Snowflake Marketplace!  \n* Navigate to the `Marketplace` screen using the menu on the left side of the window\n* Search for` OpenCelliD` in the search bar\n* Find and click the` OpenCelliD - Open Database of Cell Towers` tile\n\n![assets/geo_analysis_geometry_4.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_4.png)\n\n* Once in the listing, click the big blue `Get` button\n\n\u003E \n\u003E  On the `Get` screen, you may be prompted to complete your `user profile` if you have not done so before. Click the link as shown in the screenshot below. Enter your name and email address into the profile screen and click the blue `Save` button. You will be returned to the `Get` screen.\n\n![assets/geo_analysis_geometry_5.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_5.png)\n\n* On the `Get Data` screen, change the name of the database from the default to `OPENCELLID`, as this name is shorter, and all future instructions will assume this name for the database.\n\n![assets/geo_analysis_geometry_6.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_6.png)\n\nCongratulations! You have just created a shared database from a listing on the Snowflake Marketplace. \n\nSimilarly to the above dataset, search and get the `Netherlands Open Map Data - Sonra` dataset from the Marketplace and rename it to `osm_nl`.\n\n![assets/geo_analysis_geometry_23.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_23.png)\n\n\u003E \n\u003E  After clicking \"Get\" you may see a message saying \"Getting Data Ready. This will take at least 10 minutes.\". In this case simply continue this quickstart and come back to this step when you start using this dataset.\n\n### Install CARTO Analytics Toolbox from the Snowflake Marketplace\n\nNow you can acquire CARTO’s Analytics Toolbox from the Snowflake Marketplace. This will share UDFs (User defined functions) to your account which will allow you to perform even more geospatial analytics. \n\n* Similar to how you did with the data in the previous steps, navigate to the `Marketplace` screen using the menu on the left side of the window\n* Search for` CARTO` in the search bar\n\n![assets/geo_analysis_geometry_21.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_21.png)\n\n* Find and click the` Analytics Toolbox`  tile \n\n![assets/geo_analysis_geometry_22.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_22.png)\n\n* Click on big blue` Get`  button \n* In the options, name the database `CARTO` and optionally add more roles that can access the database \n\n![assets/geo_analysis_geometry_24.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_24.png)\n\n* Click on `Get` and then `Done`. \n\nCongratulations! Now you have data and the analytics toolbox! \n\n## Load Data from External Storage\n\n\nNow that you understand how to get data from Marketplace, let's try another way of getting data, namely, getting it from the external S3 storage. While you loading data you will learn formats supported by geospatial data types.\n\nFor this quickstart we have prepared a dataset with energy grid infrastructure (cable lines) in the Netherlands. It is stored in the CSV format in the public S3 bucket. To import this data, create an external stage using the following SQL command:\n\n```\nCREATE OR REPLACE STAGE geolab.geometry.geostage\n  URL = 's3://sfquickstarts/vhol_spatial_analysis_geometry_geography/';\n```\n\nNow you will create a new table using the file from that stage. Run the following queries to create a new file format and a new table using the dataset stored in the Stage:\n\n```\n// Create file format\nCREATE OR REPLACE FILE FORMAT geocsv TYPE = CSV SKIP_HEADER = 1 FIELD_OPTIONALLY_ENCLOSED_BY = '\"';\n\nCREATE OR REPLACE TABLE geolab.geometry.nl_cables_stations AS \nSELECT to_geometry($1) AS geometry, \n       $2 AS id, \n       $3 AS type \nFROM @geostage/nl_stations_cables.csv (file_format =\u003E 'geocsv');\n```\n\nLook at the description of the table you just created by running the following queries: \n\n```\nDESC TABLE geolab.geometry.nl_cables_stations;\n```\n\nThe [desc or describe](https://docs.snowflake.com/en/sql-reference/sql/desc.html) command shows you the definition of the view, including the columns, their data type, and other relevant details. Notice the `geometry` column is defined as `GEOMETRY` type. \n\nSnowflake supports 3 primary geospatial formats and 2 additional variations on those formats. They are:\n\n* **GeoJSON**: a JSON-based standard for representing geospatial data\n* **WKT & EWKT**: a \"Well Known Text\" string format for representing geospatial data and the \"Extended\" variation of that format\n* **WKB & EWKB:** a \"Well Known Binary\" format for representing geospatial data in binary and the \"Extended\" variation of that format\n\nThese formats are supported for ingestion (files containing those formats can be loaded into a `GEOMETRY` typed column), query result display, and data unloading to new files. You don't need to worry about how Snowflake stores the data under the covers but rather how the data is displayed to you or unloaded to files through the value of session variables called `GEOMETRY_OUTPUT_FORMAT`.\n\nRun the queries below to make sure the current format is GeoJSON.\n\n```\n// Set the output format to GeoJSON\nALTER SESSION SET geometry_output_format = 'GEOJSON';\n```\n\nThe [alter session](https://docs.snowflake.com/en/sql-reference/sql/alter-session.html) command lets you set a parameter for your current user session, which in this case is  `GEOMETRY_OUTPUT_FORMAT`. The default value for those parameters is `'GEOJSON'`, so normally you wouldn't have to run this command if you want that format, but this guide wants to be certain the next queries are run with the `'GEOJSON'` output.\n\nNow run the following query against the `nl_cables_stations` table to see energy grids in the Netherlands.\n\n```\nSELECT geometry\nFROM nl_cables_stations\nLIMIT 10;\n```\n\nIn the result set, notice the `geometry` column and how it displays a JSON representation of spatial objects. It should look similar to this:\n\n```\n{\"coordinates\": [[[1.852040750000000e+05, 3.410349640000000e+05], [1.852044840000000e+05,3.410359860000000e+05]], [[1.852390240000000e+05,3.411219340000000e+05], ... ,[1.852800600000000e+05,3.412219960000000e+05]]   ], \"type\": \"MultiLineString\" }\n```\n\nUnlike `GEOGRAPHY`, which treats all points as longitude and latitude on a spherical earth, `GEOMETRY` considers the Earth as a flat surface. More information about Snowflake's specification can be found [here](https://docs.snowflake.com/en/sql-reference/data-types-geospatial.html).\nIn this example it uses scientific notation and the numbers are much larger than latitude and longitude boundaries [-180; 180].\n\n![assets/geo_analysis_geometry_14.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_14.png)\n\nNow look at the same query but in a different format. Run the following query:\n\n```\n// Set the output format to EWKT\nALTER SESSION SET geometry_output_format = 'EWKT';\n```\n\nRun the previous `SELECT` query again and when done, examine the output in the `geometry` column.\n\n```\nSELECT geometry\nFROM nl_cables_stations\nLIMIT 10;\n```\n\nEWKT looks different from GeoJSON, and is arguably more readable. Here you can more clearly see the [geospatial object types](https://docs.snowflake.com/en/sql-reference/data-types-geospatial.html#geospatial-object-types), which are represented below in the example output:\n\n```\nSRID=28992;MULTILINESTRING((185204.075 341034.964,185204.484 341035.986), ... ,(185276.402 341212.688,185279.319 341220.196,185280.06 341221.996))\n```\n\nEWKT also shows the spatial reference identifier and in our example, you have a dataset in [Amersfoort / RD New](https://epsg.io/28992) spatial reference system, that is why the displayed SRID is 28992.\n\nLastly, look at the WKB output. Run the following query:\n\n```\n// Set the output format to WKB\nALTER SESSION SET geometry_output_format = 'WKB';\n```\n\nRun the query again, and click on a cell in the `geometry` column.\n\n```\nSELECT geometry \nFROM nl_cables_stations \nLIMIT 10;\n```\n\nNotice how WKB is incomprehensible to a human reader. However, this format is handy in data loading/unloading, as it can be more compact than WKT or GeoJSON.\n\n## Load Data from Internal Storage\n\n\nNow that you have a basic understanding of how the `GEOMETRY` data type works and what a geospatial representation of data looks like in various output formats, it's time to walk through a scenario that requires you to use constructors to load data.  You will do it while trying one more way of getting data, namely, from the Shapefile file stored in the internal stage. \n\nFirst download [this](https://sfquickstarts.s3.us-west-1.amazonaws.com/vhol_spatial_analysis_geometry_geography/nl_areas.zip) Shapefile which contains the boundaries of administrative areas in the Netherlands. \nThen in the navigation menu, select Data \u003E Databases, choose `GEOLAB.GEOMETRY`, and click Create \u003E Stage \u003E Snowflake Managed.\n\n![assets/geo_analysis_geometry_9.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_9.png)\n\nIn the new Window, use the name stageshp and click `Create`.\n\n![assets/geo-analysis-geometry-10.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo-analysis-geometry-10.png)\n\nThen select the newly created Stage and click `+ Files` to upload a new file.\n\n![assets/geo_analysis_geometry_11.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_11.png)\n\nBrowse the file you just downloaded and click  `Upload`.\n\nThe file you just uploaded contains the polygons of administrative boundaries in the Netherlands. The data is stored in [Shapefile format](https://en.wikipedia.org/wiki/Shapefile) which is not yet supported by Snowflake. But you can load this file using Python UDF and [Dynamic File Access feature](https://docs.snowflake.com/developer-guide/udf/python/udf-python-examples#label-udf-python-read-files). You will also use some packages available in the Snowflake Anaconda channel.\n\nRun the following query that creates a UDF:\n\n```\nCREATE OR REPLACE FUNCTION py_load_geodata(PATH_TO_FILE string, filename string)\nRETURNS TABLE (wkt varchar, properties object)\nLANGUAGE PYTHON\nRUNTIME_VERSION = 3.8\nPACKAGES = ('fiona', 'shapely', 'snowflake-snowpark-python')\nHANDLER = 'GeoFileReader'\nAS $$\nfrom shapely.geometry import shape\nfrom snowflake.snowpark.files import SnowflakeFile\nfrom fiona.io import ZipMemoryFile\nclass GeoFileReader:        \n    def process(self, PATH_TO_FILE: str, filename: str):\n    \twith SnowflakeFile.open(PATH_TO_FILE, 'rb') as f:\n    \t\twith ZipMemoryFile(f) as zip:\n    \t\t\twith zip.open(filename) as collection:\n    \t\t\t\tfor record in collection:\n    \t\t\t\t\tyield (shape(record['geometry']).wkt, dict(record['properties']))\n$$;\n```\n\nThis UDF reads a Shapefile and returns its content as a table. Under the hood it uses geospatial libraries `fiona` and `shapely`.\nRun the following query to see the content of the uploaded shapefile.\n\n```\n// Setting EWKT as an output format\nALTER SESSION SET geometry_output_format = 'EWKT';\n\nSELECT to_geometry(wkt) AS geometry,\n       properties:NAME_1::string AS province_name,\n       properties:NAME_2::string AS municipality_name\nFROM table(py_load_geodata(build_scoped_file_url(@stageshp, 'nl_areas.zip'), 'nl_areas.shp'));\n```\nThis query fails with the error: *Geometry validation failed: Geometry has invalid self-intersections. A self-intersection point was found at (559963, 5.71069e+06)*. \n\n\u003E \n\u003E  The constructor function determines if the shape is valid according to the [Open Geospatial Consortium’s Simple Feature Access / Common Architecture](https://www.ogc.org/standards/sfa) standard. If the shape is invalid, the function reports an error and does not create the GEOMETRY object. That is what happened in our example.\n\nTo fix this you can allow the ingestion of invalid shapes by setting the corresponding parameter to True. Let's run the SELECT statement again, but update the query to see how many shapes are invalid. Run the following query:\n\n```\nSELECT to_geometry(s =\u003E wkt, allowInvalid =\u003E True) AS geometry,\n       st_isvalid(geometry) AS is_valid,\n       properties:NAME_1::string AS province_name,\n       properties:NAME_2::string AS municipality_name\nFROM table(py_load_geodata(build_scoped_file_url(@stageshp, 'nl_areas.zip'), 'nl_areas.shp'))\nORDER BY is_valid ASC;\n```\n\n![assets/geo_analysis_geometry_15_1.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_15_1.png)\n\nThis query completed without error and now you see that the shape of the province Zeeland is invalid. Let's try to repair it by applying the [ST_BUFFER](https://docs.snowflake.com/en/sql-reference/functions/st_buffer) function with a small value for the buffer distance.\n\n```\nSELECT st_buffer(to_geometry(s =\u003E wkt, allowInvalid =\u003E True), -1) AS geometry,\n       st_isvalid(geometry) AS is_valid,\n       properties:NAME_1::string AS province_name,\n       properties:NAME_2::string AS municipality_name\nFROM table(py_load_geodata(build_scoped_file_url(@stageshp, 'nl_areas.zip'), 'nl_areas.shp'))\nORDER BY is_valid ASC;\n```\n\n![assets/geo_analysis_geometry_15.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_15.png)\n\n\u003E \n\u003E  Using ST_BUFFER with some small positive or negative value for the distance *sometimes* can help to fix invalid shapes. However, you should remember that the unit of measurement for the distance parameter in the ST_BUFFER will be the same as your data. Therefore, if your data utilizes lon/lat values, the distance's units will also be degrees.\n\nNow all shapes are valid and the data is ready to be ingested. One additional thing you should do is to set SRID, since otherwise it will be set to 0. This dataset is in the reference system [WGS 72 / UTM zone 31N](https://epsg.io/32231), so it makes sense to add the SRID=32231 to the constructor function.\n\nRun the following query:\n\n```\nCREATE OR REPLACE TABLE geolab.geometry.nl_administrative_areas AS\nSELECT st_buffer(to_geometry(s =\u003E wkt, srid =\u003E 32231, allowinvalid =\u003E true), -1) AS geometry,\n       (CASE WHEN properties:TYPE_1::string IS NULL THEN 'Municipality' ELSE 'Province' END) AS type,\n       properties:NAME_1::string AS province_name,\n       properties:NAME_2::string AS municipality_name\nFROM TABLE(py_load_geodata(build_scoped_file_url(@stageshp, 'nl_areas.zip'), 'nl_areas.shp'));\n```\n\nExcellent! Now that all the datasets are successfully loaded, let's proceed to the next exciting step: the analysis.\n\n\n\u003C!-- ----------------------------------------- --\u003E\n## Spatial analysis\n\n\nTo showcase the capabilities of the GEOMETRY data type, you will explore several use cases. In these scenarios, you'll assume you are an analyst working for an energy utilities company responsible for maintaining electrical grids.\n\n### What is the length of the electricity cables?\nIn the first use case you will calculate the length of electrical cables your organization is responsible for in each administrative area within the Netherlands. You'll be utilizing two datasets: with power infrastructure of the Netherlands and the borders of Dutch administrative areas. First, let's check the sample of each dataset.\n\nRun the following query to see the content of `nl_cables_stations` table:\n\n```\nSELECT geometry, type\nFROM geolab.geometry.nl_cables_stations\nLIMIT 5;\n```\nThe results look similar to this:\n\n![assets/geo_analysis_geometry_16.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_16.png)\n\nThe spatial data is stored using the `GEOMETRY` data type and employs the Dutch mapping system, `Amersfoort / RD New` (SRID = 28992). To view the contents of the table containing the boundaries of the administrative areas in the Netherlands, execute the following query:\n\n```\nSELECT *\nFROM geolab.geometry.nl_administrative_areas\nLIMIT 5;\n```\n\n![assets/geo_analysis_geometry_17.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_17.png)\n\nIn order to compute the length of all cables per administrative area, it's essential that both datasets adhere to the same mapping system. You have two options: either project `nl_administrative_areas` to SRID 28992, or project `nl_cables_stations` to SRID 32231. For this exercise, let's choose the first option.\n\nRun the following query:\n```\nSELECT t1.province_name,\n       sum(st_length(t2.geometry)) AS cables_length\nFROM geolab.geometry.nl_administrative_areas AS t1,\n     geolab.geometry.nl_cables_stations AS t2\nWHERE st_intersects(st_transform(t1.geometry, 28992), t2.geometry)\n  AND t1.type = 'Province'\nGROUP BY 1\nORDER BY 2 DESC;\n```\n\n![assets/geo_analysis_geometry_18.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_18.png)\n\nYou have five areas densely covered by electricity cables, those are the ones that your company is responsible for. For your first analysis, you will focus on these areas.\n\n### What cell towers lack electricity cables nearby\n\nIn many areas, especially rural or remote ones, cell towers might be located far from electricity grids. This can pose a challenge in providing a reliable power supply to these towers. They often rely on diesel generators, which can be expensive to operate and maintain and have environmental implications. Furthermore, power outages can lead to disruptions in mobile connectivity, impacting individuals, businesses, and emergency services.\n\nOur analysis aims to identify mobile cell towers that are not near an existing electricity grid. This information could be used to prioritize areas for grid expansion, to improve the efficiency of renewable energy source installations (like solar panels or wind turbines), or to consider alternative energy solutions.\n\nFor this and the next examples let's use `GEOGRAPHY` data type as it can be easily visualized using CARTO. As a first step, let's create `GEOGRAPHY` equivalents for the energy grids and boundaries tables. For that you need to project the `geometry` column in each of the tables into the mapping system WGS 84 (SRID=4326) and then convert to `GEOGRAPHY` data type. Run the following queries that create new tables and enable search optimization for each of them in order to increase the performance of spatial operations. \n\n```\n// Creating a table with GEOGRAPHY for nl_administrative_areas\nCREATE OR REPLACE SCHEMA GEOLAB.GEOGRAPHY;\n\nCREATE OR REPLACE TABLE geolab.geography.nl_administrative_areas AS\nSELECT to_geography(st_asgeojson(st_transform(geometry, 4326))) AS geom,\n       type,\n       province_name,\n       municipality_name\nFROM geolab.geometry.nl_administrative_areas\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.nl_administrative_areas ADD SEARCH OPTIMIZATION ON GEO(geom);\n\n// Creating a table with GEOGRAPHY for nl_cables_stations\nCREATE OR REPLACE TABLE geolab.geography.nl_cables_stations AS\nSELECT to_geography(st_asgeojson(st_transform(geometry, 4326))) AS geom,\n       id,\n       type\nFROM geolab.geometry.nl_cables_stations\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.nl_cables_stations ADD SEARCH OPTIMIZATION ON GEO(geom);\n```\n\nYou can now go to the CARTO account and visualize administrative areas and cable information in CARTO Builder.\n* Create a new map. Use the navigation menu on the left to get to Maps and then click on (+) New Map.\n\n![assets/geo_analysis_geometry_27.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_27.png)\n\n* Click on the `Add Source From` → `Data Explorer`\n\n![assets/geo_analysis_geometry_28.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_28.png)\n\n* In the pop-up select your connection and the `GEOLAB.GEOGRAPHY.NL_ADMINISTRATIVE_AREAS` table.\n\n![assets/geo_analysis_geometry_29.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_29.png)\n\nClick on the newly created layer and unselect \"Fill Color\" toggle to see the boundaries of the areas on the map.\n\n![assets/geo_analysis_geometry_30.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_30.gif)\n\nSimilarly you can visualize the `GEOLAB.GEOGRAPHY.NL_CABLES_STATIONS` table.\n\n![assets/geo_analysis_geometry_31.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_31.gif)\n\nNow you will create a table with locations of cell towers stored as GEOGRAPHY and enable search optimization, just like for the previous two tables. Run the following query in your Snowflake's worksheet:\n\n```\nCREATE OR REPLACE TABLE geolab.geography.nl_lte AS\nSELECT DISTINCT st_point(lon, lat) AS geom,\n                cell_range\nFROM OPENCELLID.PUBLIC.RAW_CELL_TOWERS t1\nWHERE mcc = '204' -- 204 is the mobile country code in the Netherlands\n  AND radio='LTE'\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.nl_lte ADD SEARCH OPTIMIZATION ON GEO(geom); \n```\n\nFinally, you will find all cell towers that don't have an energy line within a 2-kilometer radius. For each cell tower you'll calculate the distance to the nearest electricity cable. In CARTO Builder click on the Add `Source From` → `Custom Query (SQL)` and make sure you have selected the Snowflake Connection that you have created in previous steps.\n\n![assets/geo_analysis_geometry_32.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_32.gif)\n\nThen paste the following query and click on the green `Run` button.\n\n```\nSELECT province_name,\n       cells.geom\nFROM geolab.geography.nl_lte cells\nLEFT JOIN geolab.geography.nl_cables_stations cables \n  ON st_dwithin(cells.geom, cables.geom, 2000)\nJOIN geolab.geography.nl_administrative_areas areas \n  ON st_contains(areas.geom, cells.geom)\nWHERE areas.type = 'Province'\n  AND areas.province_name in ('Noord-Brabant', 'Overijssel', 'Limburg', 'Groningen', 'Drenthe')\n  AND cables.geom IS NULL;\n```\n\nYou can modify the colors of cell towers in the output and expand their radius in order to enhance their visibility.\n\n![assets/geo_analysis_geometry_33.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_33.gif)\n\n\u003C!-- ------------------------ --\u003E\n## Advanced Analysis using Spatial Joins and H3\n\n\nIn the previous section you've found cell towers that don't have electricity cables nearby. But what about answering more sophisticated questions, like what areas in the Netherlands have very good and bad coverage by LTE (4G) network? You can use geospatial functions combined with spatial join and H3 functions.\n\n### What municipalities in the Netherlands have good/poor LTE coverage?\n\nYou have been using `nl_lte` table, which stores the locations of cell towers. To find municipalities in the Netherlands with good and bad coverage by LTE network, you will undertake a two-step process as follows:\n\n* For every LTE cell tower, you will calculate the coverage area.\n* For every Dutch municipality, calculate the area covered by the LTE network.\n\n`ST_BUFFER` from the Carto toolbox can be used to calculate the coverage area for each LTE cell tower. In the `nl_lte` table, there is a field `cell_range` which can be used as a value of radius in `ST_BUFFER`. For the sake of this example you will assume that a good signal can be received no further than 2000 meters away from the LTE cell.\n\nRun the following two queries in your Snowflake's worksheet: \n\n```\nCREATE OR REPLACE TABLE geolab.geography.nl_lte_with_coverage AS\nSELECT geom,\n       cell_range,\n       carto.carto.st_buffer(geom, least(cell_range, 2000), 5) AS coverage\nFROM geolab.geography.nl_lte\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.nl_lte_with_coverage ADD SEARCH OPTIMIZATION ON GEO(geom); \n```\n\nNow there is a new column named `coverage` that contains a polygon representing the area covered by each cell tower's signal. Let's create a new map in the CARTO Builder and run the following query to visualize the coverage for one of the municipalities:\n\n```\nSELECT c.coverage AS geom\nFROM geolab.geography.nl_lte_with_coverage c\nJOIN geolab.geography.nl_administrative_areas b \n  ON st_intersects(b.geom, c.geom)\nWHERE TYPE = 'Municipality'\n  AND municipality_name = 'Angerlo';\n```\n\nThe result of this query is a number of overlapping circles:\n\n![assets/geo_analysis_geometry_20.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_20.gif)\n\nTo calculate the coverage of each district by LTE network, you can create a user-defined Python function that calculates an aggregated union and uses the Shapely library under the hood. Run the following query from Snowflake Worksheets:\n\n```\nCREATE OR REPLACE FUNCTION geolab.geography.py_union_agg(g1 array)\nRETURNS GEOGRAPHY\nLANGUAGE PYTHON\nRUNTIME_VERSION = 3.8\nPACKAGES = ('shapely')\nHANDLER = 'udf'\nAS $$\nfrom shapely.ops import unary_union\nfrom shapely.geometry import shape, mapping\ndef udf(g1):\n    shape_union = unary_union([shape(i) for i in g1])\n    shape_union = shape_union.simplify(0.000001)\n    return mapping(shape_union)\n$$;\n```\n\nThe function above gets an array of spatial objects and returns a single large shape which is a union of all initial shapes. Now run the following query from the CARTO Builder:\n\n```\nSELECT geolab.geography.py_union_agg(array_agg(st_asgeojson(c.coverage))) AS geom\nFROM geolab.geography.nl_lte_with_coverage c\nJOIN geolab.geography.nl_administrative_areas b \n  ON st_intersects(b.geom, c.geom)\nWHERE type = 'Municipality'\nAND municipality_name = 'Angerlo';\n```\n      \nNote how the result of this function returns a single polygon covering the same area without overlaps.\n\n![assets/geo_analysis_geometry_20_1.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_20_1.png)\n\nLet's now for every municipality compute the following:\n\n* The area that is covered by the LTE network\n* The numerical value of coverage ratio by the LTE network\n\nUse the table `nl_lte_with_coverage`, and first join it with `nl_administrative_areas` using `ST_INTERSECTS` predicate to match cell towers to the municipalities they cover. Then you use `PY_UNION_AGG` to get a combined coverage polygon. Then use `ST_INTERSECTION` to find a portion of the municipality that is covered by the LTE signal. Then you compute the covered area in square meters. The result will be saved in the new table. To speed up queries against that newly created table, you will enable the search optimization feature.\n\nRun the following two queries:\n\n```\nCREATE OR REPLACE TABLE geolab.geography.nl_municipalities_coverage AS\nSELECT municipality_name,\n       any_value(geom) AS municipality_geom,\n       st_intersection(municipality_geom, \n                       geolab.geography.py_union_agg(array_agg(st_asgeojson(coverage)))) AS coverage_geom,\n       round(st_area(coverage_geom)/st_area(municipality_geom), 2) AS coverage_ratio\nFROM\n  (SELECT c.coverage AS coverage,\n          b.municipality_name AS municipality_name,\n          b.geom\n   FROM geolab.geography.nl_lte_with_coverage c\n   INNER JOIN geolab.geography.nl_administrative_areas b \n      ON st_intersects(b.geom, c.coverage)\n   WHERE TYPE = 'Municipality')\nGROUP BY municipality_name\nORDER BY st_geohash(municipality_geom);\n\nALTER TABLE geolab.geography.nl_municipalities_coverage ADD SEARCH OPTIMIZATION ON GEO(municipality_geom);\n```\n\nNice! Now you have a `nl_municipalities_coverage` table that contains the name of the municipality, the boundaries of that municipality, and the boundaries of the LTE coverage area. Let's visualize this in Carto. Paste the following query into the SQL editor and use the `coverage_ratio` column to color code the coverage areas.\n\n```\nSELECT coverage_geom AS geom,\n       coverage_ratio\nFROM geolab.geography.nl_municipalities_coverage;\n```\n\n![assets/geo_analysis_geometry_19.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_19.gif)\n\n### What percent of the Dutch highways have LTE coverage?\n\nNow imagine you want to calculate what percentage of highways in the Netherlands are covered by the LTE network. To get the number, you can employ the `Netherlands Open Map Data` dataset that has NL motorways.\n\n\u003E \n\u003E  At this point you need to use Open Street Map data for the Netherlands. If you had to skip importing this table because the data was not ready please go back to that step. The data should be available by now.\n\nRun the following query in your Snowflake worksheet:\n\n```\nSELECT sum(st_length(st_intersection(coverage.coverage_geom, roads.geo_cordinates))) AS covered_length,\n       sum(st_length(st_intersection(coverage.municipality_geom, roads.geo_cordinates))) AS total_length,\n       round(100 * covered_length / total_length, 2) AS \"Coverage, %\"\nFROM osm_nl.netherlands.v_road roads,\n     geolab.geography.nl_municipalities_coverage coverage\nWHERE st_intersects(coverage.municipality_geom, roads.geo_cordinates)\n  AND roads.class in ('primary', 'motorway');\n```\n\nIt seems your LTE network covers almost 100% of the highways. A good number to call out in a marketing campaign.\n\n### Estimating the quality of LTE signal on Dutch highways\n\nIn the previous section you found that almost all highways in the Netherlands are within a range of LTE towers. But the LTE signal may have a different quality depending on how close the tower is or how many towers are in reach. The next question you may ask as an analysis is what motorways in the NL have poor signal quality. \n\nFor this you need to build a signal decay model. You will use H3 to represent signal distribution around the cell towers.\n\nIn the query below, the first CTE uses the `H3_POINT_TO_CELL` function to compute the H3 cell id for each cell tower. It also estimates the distance in H3 cells around the tower based on the cell's range. The distance is calculated by dividing the `cell_range` by 400 meters, which represents the spacing between H3 cells at resolution 9.\n\nNow that you know the H3 cell for each LTE tower you can find its neighboring H3 cells and estimate signal strength in them. First, you will apply the `H3_GRID_DISK` function to compute all neighboring H3 cells within a certain distance from a given H3 cell. Since `H3_GRID_DISK` yields an array, you must use the lateral join to flatten these arrays. Then you will create a decay function based on the H3 distance, so you need to determine the maximum H3 distance for each antenna. You can then group the data by H3 cell and choose the highest signal strength within that cell. Multiple towers can cover the same H3 cell multiple times; thus, you will select the one with the strongest signal.\n\nThe signal will range from 0 (poor) to 100 (strongest). The model multiplies the \"starting signal strength\" of 100 by the distance between the antenna and the H3 cell, and it adds more noise as the H3 cell is further away. \n\nOrdering by H3 will enable CARTO to execute queries faster, which is beneficial for visualization purposes.\n\nRun the following query:\n\n```\nCREATE OR REPLACE TABLE geolab.geography.nl_lte_coverage_h3 AS\n// First estimate compute H3 cells and estimate number of H3 cells within range\nWITH nl_lte_h3 AS (\n    SELECT row_number() OVER(ORDER BY NULL) AS id,\n           cell_range,\n           H3_POINT_TO_CELL(geom, 9)::int AS h3,\n           round(least(cell_range, 2000) / 400)::int AS h3_cell_range\n    FROM geolab.geography.nl_lte\n),\n// Find all neighboring cells and calculate signal strength in them\nh3_neighbors AS (\n  SELECT id,\n         p.value::int AS h3,\n         H3_GRID_DISTANCE(n.h3, p.value::int) AS H3_GRID_DISTANCE,\n         // decay model for signal strength:\n         100 * pow(1 - H3_GRID_DISTANCE / (h3_cell_range + 1), 2) AS signal_strength\n  FROM nl_lte_h3 n,\n       table(flatten(INPUT =\u003E H3_GRID_DISK(n.h3, h3_cell_range))) p)\nSELECT h3, \n       // maximum signal strength with noise:\n       max(signal_strength) * uniform(0.8, 1::float, random()) AS signal_strength\nFROM h3_neighbors\nGROUP BY h3\nORDER BY h3;\n```\n\nNow that you have created your signal decay model, let’s visualize it in CARTO. For that, you can just run the following query from the query console into a new map.\n\n```\nSELECT h3,\n       signal_strength\nFROM geolab.geography.nl_lte_coverage_h3;\n```\n\n\u003E \n\u003E  Note that you don’t have a `GEOGRAPHY` on this query. This is because CARTO has native support of H3 and can show the H3 geography representation on the browser without the need to store and move the geography from the database to the browser. \n\nAs you create an H3 layer you will need to configure the layer type from the query console:\n\n![assets/geo_analysis_geometry_34.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_34.gif)\n\nH3 layers allow us to show aggregated information at different resolutions for different zoom levels. Because of this, when you style the layer, you need to decide on an aggregation method for the attribute to show, in this example you will use `signal_strength`.\n\n![assets/geo_analysis_geometry_35.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_35.png)\n\nRemember to select a color palette of your liking and the color scale (the default is custom but you want to *Quantize* bins for this use case).\nYou can also change the relation between the zoom level and the resolution. The higher the resolution configuration, the more granularity you will see on the map but it will also take longer to load. Select resolution 5.\n\n![assets/geo_analysis_geometry_36.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_36.gif)\n\nLet’s now use the road network from `NL Open Map Data` to see which road segments have good coverage and which do not.\nTo intersect the road layer with the H3 signal strength layer you need to find H3 cells covering all motorways in the NL.\n\nThe query below demonstrates one way of doing this. First, you split the road geometries into simple segments and compute the H3 index for in the middle of each segment. Then you aggregate all segments back. Run the following query:\n\n```\nCREATE OR REPLACE table geolab.geography.nl_roads_h3 AS \n// import roads from OSM:\nWITH roads AS (\n  SELECT row_number() over(ORDER BY NULL) AS road_id,\n        geo_cordinates AS geom\n  FROM OSM_NL.NETHERLANDS.V_ROAD roads\n  WHERE class IN ('primary', 'motorway')\n    AND st_dimension(geo_cordinates) = 1\n),\n// In order to compute H3 cells corresponding to each road you need to first\n// split roads into the line segments. You do it using the ST_POINTN function\nsegments AS (\n  SELECT road_id,\n          value::integer AS segment_id,\n          st_makeline(st_pointn(geom, segment_id), st_pointn(geom, segment_id + 1)) AS SEGMENT,\n          geom,\n          H3_POINT_TO_CELL(st_centroid(SEGMENT), 9)::int AS h3_center\n  FROM roads,\n       LATERAL flatten(array_generate_range(1, st_npoints(geom)))) \n// Next table build the H3 cells covering the roads\n// For each line segment you find a corresponding H3 cell and then aggregate by road id and H3\n// At this point you switched from segments to H3 cells covering the roads.\nSELECT road_id,\n       h3_center AS h3,\n       any_value(geom) AS road_geometry\nFROM segments\nGROUP BY 1, 2\nORDER BY h3;\n```\n\nIf you visualize table `GEOLAB.GEOGRAPHY.NL_ROADS_H3` in CARTO Builder (`Add Source From` → `Data Explorer`) you will see tessellated roads.\n\n![assets/geo_analysis_geometry_39.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_39.png)\n\nNow you use the signal decay model that you built previously to estimate the average signal along each highway. For this you need to join two tables (tessellated highways and the signal strength) using H3 cell id and aggregate the result by road id.\n\nRun the following two queries.\n\n```\nCREATE OR REPLACE TABLE geolab.geography.osm_nl_not_covered AS\nSELECT road_id,\n       any_value(road_geometry) AS geom,\n       avg(ifnull(signal_strength, 0.0)) AS avg_signal_strength,\n       iff(avg_signal_strength \u003E= 50, 'OK Signal', 'No Signal') AS signal_category\nFROM geolab.geography.nl_roads_h3 roads_h3\nLEFT JOIN geolab.geography.nl_lte_coverage_h3 cells ON roads_h3.h3 = cells.h3\nGROUP BY road_id\nORDER BY st_geohash(geom);\n\nALTER TABLE geolab.geography.osm_nl_not_covered ADD SEARCH OPTIMIZATION ON GEO(geom);\n```\n\nNow that you have classified road segments by signal and no signal, you can run the following simple query to get the length of each geography in meters:\n\n```\nSELECT signal_category,\n       SUM(ST_LENGTH(geom)/1000)::int AS total_km\nFROM geolab.geography.osm_nl_not_covered\nGROUP BY signal_category;\n```\n\nYou now know that you have 14,601 km with good coverage and 1,667 with poor/no coverage. Interestingly, that is about 13 % of the NL roads!\n\nLastly, with this layer, you can add it to your CARTO map and visualize the road segment according to the `SIGNAL_CATEGORY` feature you created.\n\nFor this, you can add the layer via `Add source from` → `Data Explorer`. Then select your connection and the `GEOLAB.GEOGRAPHY.OSM_NL_NOT_COVERED` table.\n\n![assets/geo_analysis_geometry_38.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_38.png)\n\nOnce you have your second layer on the map, you can click on it to style it and show the stroke color based on your `SIGNAL_CATEGORY` column. To do that, create a “Custom palette” with just two colors: gray for roads with good signal and red for roads with no/poor signal.\n\n![assets/geo_analysis_geometry_37.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/geo-analysis-geometry/geo_analysis_geometry_37.gif)\n\n\u003E \n\u003E  You may feel that these last several queries were a bit long and repetitive, but remember that the intention of this guide was to walk you through the progression of building these longer, more complicated queries by illustrating to you what happens at each step through the progression. By understanding how functions can be combined, it helps you to understand how you can do more advanced things with Snowflake geospatial features!\n\n## Conclusion\n\nIn this guide, you acquired geospatial data from the Snowflake Marketplace, explored how the GEOMETRY data type works and how it differs from the GEOGRAPHY. You converted one data type into another and queried geospatial data using parser, constructor, transformation, calculation and H3 functions on single tables and multiple tables with joins. You then saw how geospatial objects could be visualized using CARTO.\n\nYou are now ready to explore the larger world of Snowflake geospatial support and geospatial functions.\n\n### What we've covered\n* How to acquire a shared database from the Snowflake Marketplace and from External and internal storages.\n* The GEOMETRY data type, its formats GeoJSON, WKT, EWKT, WKB, and EWKB, and how to switch between them.\n* How to use constructors like TO_GEOMETRY, ST_MAKELINE.\n* How to reproject between SRIDs using ST_TRANSFORM.\n* How to perform relational calculations like ST_DWITHIN and ST_INTERSECTS.\n* How to perform measurement calculations like ST_LENGTH.\n* How to use set operations like ST_INTERSECTION.\n* How to use Python UDFs for reading Shapefiles and creating custom functions.\n* How to use Spatial grid and H3 functions like H3_POINT_TO_CELL, H3_GRID_DISK, H3_POLYFILL.\n* How to use Search Optimization to speed up geospatial queries.\n\n### Related Resources\n* [Geospatial Analytics for Retail with Snowflake and CARTO](/en/developers/guides/geospatial-analytics-with-snowflake-and-carto-ny/)\n* [Geospatial Analytics for Telecom with Snowflake and CARTO](/en/developers/guides/geo-analysis-telecom/)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-38ffb78ea8","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-e7af942833",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-81d255637e","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2025-12-20",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-bce14280f2","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake instances\u003C/span\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"}},":itemsOrder":["quickstart_last_modi","text"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-4bb3f54d5a",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{},":itemsOrder":[]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["contentfragment","flexible_column_cont"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-2a8fcb523b",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_table_of_":{"layout":"SIMPLE","id":"container-5c06a29467","isDeveloperGuidesPage":false,":type":"snowflake-site/components/quickstart/quickstart-table-of-content/quickstart-table-of-content-container",":items":{"quickstart_table_of_":{"id":"quickstart-table-of-content-5b100d993f","headings":["\u003Ch2\u003EOverview\u003C/h2\u003E","\u003Ch2\u003ESetup your Account\u003C/h2\u003E","\u003Ch2\u003EAcquire Marketplace Data and Analytics Toolbox\u003C/h2\u003E","\u003Ch2\u003ELoad Data from External Storage\u003C/h2\u003E","\u003Ch2\u003ELoad Data from Internal Storage\u003C/h2\u003E","\u003Ch2\u003ESpatial analysis\u003C/h2\u003E","\u003Ch2\u003EAdvanced Analysis using Spatial Joins and H3\u003C/h2\u003E","\u003Ch2\u003EConclusion\u003C/h2\u003E"],"fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/geo-analysis-geometry",":type":"snowflake-site/components/quickstart/quickstart-table-of-content"},"quickstart_button":{"id":"quickstart-button-8f644a37ee","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/geo-analysis-geometry",":type":"snowflake-site/components/quickstart/quickstart-button","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"}},":itemsOrder":["quickstart_table_of_","quickstart_button"]}},":itemsOrder":["quickstart_table_of_"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false},"markup_editor":{"id":"markup-editor-855c52fa16","title":"Page CSS","cssContent":"#quickstart-template-main-flexible-container{padding:24px}#quickstart-template-main-flexible-container \u003E .snowflake-flexible-column-container-items{grid-template-columns:1fr 0}.qs-disclaimer-text p \u003E span{font-size:15px !important}@media (min-width:768px){#quickstart-template-main-flexible-container{padding:24px 32px}#quickstart-template-main-flexible-container \u003E .snowflake-flexible-column-container-items{grid-template-columns:7fr 3fr;gap:48px}}@media (max-width:767px){#quickstart-template-main-flexible-container \u003E .snowflake-flexible-column-container-items{gap:0}}@media (min-width:1024px){#quickstart-template-main-flexible-container{padding:0 92px 48px 92px}#quickstart-template-main-flexible-container \u003E .snowflake-flexible-column-container-items{gap:117px}}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["quickstart_hero","flexible_column_cont","markup_editor"],":type":"wcm/foundation/components/responsivegrid"},"modal_container":{"layout":"SIMPLE","id":"container-67929f01a1",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-88daeef5fb","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/footer/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"additionalClasses":"sf-footer","layout":"SIMPLE","id":"container-77e582259f",":type":"snowflake-site/components/container",":items":{"container_copy":{"additionalClasses":"sf-footer__inner","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-ba2bc31579",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":items":{"flexible_column_cont":{"id":"flexible-column-container-dbdcc91996","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"extra-small","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"sf-footer-grid","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-cb9833f28c",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sf-footer-grid__inner","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","container_1622723482":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy_":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy":"aem-GridColumn aem-GridColumn--default--12","container_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-ef8d06561d",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"container_1622723482":{"additionalClasses":"sf-footer__column","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-9a18e2b69a",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"container":{"additionalClasses":"sf-footer__newsletter-group","columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12","marketo_v2":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-3b16f899dd",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-aacd811b7d","additionalClasses":"sf-footer__newsletter-title","text":"\u003Cp\u003E\u003Cb\u003ESubscribe to our monthly newsletter\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EStay up to date on Snowflake’s latest products, expert insights and resources—right in your inbox!\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-04"},"marketo_v2":{"id":"marketo-v2-ee1267f2d1","marketoForm":{"hidden":null,"formId":"45871","edit":false,"successUrl":null,"script":null,"values":null},"marketoConfigured":true,"formConfigured":true,"serverInstance":"252-RFO-227.mktoweb.com","munchkinId":"252-RFO-227",":type":"snowflake-site/components/form/marketo-v2"}},":itemsOrder":["text","marketo_v2"]}},":itemsOrder":["container"]},"container":{"columnClassNames":{"text_copy":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-6d60e1edc8",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"text":{"id":"text-a496699d45","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003EProduct\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/product/platform/\"\u003EPlatform\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/product/snowflake-cowork/\"\u003ESnowflake CoWork\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/product/data-engineering/\"\u003EData Engineering\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/product/analytics/\"\u003EAnalytics\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/product/ai/\"\u003EAI\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/product/applications-and-collaboration/\"\u003EApplications & Collaboration\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/pricing-options/\"\u003EPricing\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-04"},"text_copy":{"id":"text-2347d9980f","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003ESupport\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/support/\"\u003ESupport\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/addenda/priority-support-services-description/\"\u003EPriority Support\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://status.snowflake.com/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003EStatus\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-04"}},":itemsOrder":["text","text_copy"]},"container_copy_copy":{"columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-a5262f63f4",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-439ce9e73a","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003E\u003Ca href=\"/en/solutions/industries/\"\u003EIndustries\u003C/a\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/advertising-media-entertainment/\"\u003EAdvertising, Media & Entertainment\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/financial-services/\"\u003EFinancial Services\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/healthcare-and-life-sciences/\"\u003EHealthcare & Life Sciences\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/manufacturing/\"\u003EManufacturing\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/public-sector/\"\u003EPublic Sector\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/retail-consumer-goods/\"\u003ERetail & Consumer Goods\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/telecom/\"\u003ETelecom\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/solutions/industries/technology/\"\u003ETechnology\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-04"}},":itemsOrder":["text"]},"container_copy":{"columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-4b009184d5",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-5e577b66c6","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003ECompany\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/about-snowflake/\"\u003EAbout Snowflake\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/leadership-and-board/\"\u003ELeadership & Board\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://careers.snowflake.com/us/en\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ECareers\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://investors.snowflake.com/overview/default.aspx\" target=\"_blank\" rel=\"noopener noreferrer\"\u003EInvestor Relations\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://trust.snowflake.com/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ETrust Center\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/brand-guidelines/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003EBrand Guidelines\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/contact/\"\u003EContact\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/news/\"\u003ENewsroom\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/esg/\"\u003EEnvironmental, Social & Governance\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/snowflake-ventures/\"\u003ESnowflake Ventures\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/end-data-disparity/\"\u003EEnd Data Disparity\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/summit/\"\u003ESnowflake Summit 26\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-04"}},":itemsOrder":["text"]},"container_copy_copy_":{"columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-5dda4dc805",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-8d1ab76314","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003ELearn\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://snowflake.com/en/resources/\"\u003EResource Library\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/webinars/demo/\"\u003ELive Demos\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/fundamentals/\"\u003EFundamentals\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/resources/learn/training/\"\u003ETraining\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/resources/learn/certifications/\"\u003ECertifications\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://learn.snowflake.com/en/\"\u003ESnowflake University\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides\"\u003EDeveloper Guides\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/\"\u003EDocumentation\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/data-governance/\"\u003EData Governance\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-04"}},":itemsOrder":["text"]}},":itemsOrder":["container_1622723482","container","container_copy_copy","container_copy","container_copy_copy_"]}},":itemsOrder":["container"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"]},"container_573483281_":{"additionalClasses":"sf-footer__bottom","columnClassNames":{"container_112062425":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-21df95dc08",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-none",":items":{"container_112062425":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-b95ab2fc27",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":items":{"flexible_column_cont":{"id":"flexible-column-container-baec19fd44","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-2ff87b730a",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sf-footer__legal-container","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","text_copy_copy_16360":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-f7c749ad5b",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-none",":items":{"container":{"columnClassNames":{"image":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"layout":"RESPONSIVE_GRID","id":"container-fca78f6ac4",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"image":{"id":"image-d2224495e9","additionalClasses":"sf-footer__logo","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/en/site/footer/master/_jcr_content/root/container_573483281_/container_112062425/flexible_column_cont/flexible_column_content_container_1/container/container/image.coreimg.svg/1747882370694/nav-icon-snowflake-bug.svg","lazyEnabled":true,"alt":"Snowflake logo","imageLink":{"valid":true,"url":"/en/"},"width":"64",":type":"snowflake-site/components/image"}},":itemsOrder":["image"]},"text_copy_copy_16360":{"id":"text-855e4ff499","additionalClasses":"sf-footer__legal-links","text":"\u003Cul\u003E\r\n\u003Cli\u003E© 2026 Snowflake Inc. All Rights Reserved\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/privacy/privacy-policy/\"\u003EPrivacy Policy\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://snowflake.com/en/legal/snowflake-site-terms/\"\u003ESite Terms\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://info.snowflake.com/Preference-center.html\"\u003ECommunication Preferences\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Cbutton id=\"ot-sdk-btn\" class=\"ot-sdk-show-settings\"\u003ECookie Settings\u003C/button\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/privacy/privacy-policy/#12\"\u003EDo Not Share My Personal Information\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/\"\u003ELegal\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-04"},"markup_editor":{"id":"markup-editor-df78fcb3d7","title":" ","htmlContent":"\u003Cdiv class=\"sf-footer__social\"\u003E\r\n\u003Cdiv data-testid=\"snowflake-footer-twitter\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://x.com/Snowflake\" data-testid=\"button-external\" aria-label=\"X (Twitter)\" role=\"button\" class=\"snowflake-button-container\" title=\"X (Twitter)\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"none\" viewBox=\"0 0 59 53\" class=\"button-icon\"\u003E\u003Cpath fill=\"currentColor\" d=\"M46.614 0h9.044L35.8 22.49 59 53H40.795L26.54 34.46 10.223 53H1.18l21.036-24.055L0 0h18.657l12.878 16.937zM43.45 47.72h5.013L16.023 5.085h-5.387z\"\u003E\u003C/path\u003E\u003C/svg\u003E\u003C/div\u003E\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E\u003C/div\u003E\u003Cdiv data-testid=\"snowflake-footer-linkedin\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://www.linkedin.com/company/3653845\" data-testid=\"button-external\" aria-label=\"LinkedIn\" role=\"button\" class=\"snowflake-button-container\" title=\"LinkedIn\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"button-icon\"\u003E\u003Cpath d=\"M22.223 0H1.772C.792 0 0 .773 0 1.73v20.536C0 23.222.792 24 1.772 24h20.451c.98 0 1.777-.778 1.777-1.73V1.73C24 .773 23.203 0 22.223 0ZM7.12 20.452H3.558V8.995H7.12v11.457ZM5.34 7.434a2.064 2.064 0 1 1 0-4.125 2.063 2.063 0 0 1 0 4.125Zm15.112 13.018h-3.558v-5.57c0-1.326-.024-3.037-1.852-3.037-1.851 0-2.133 1.449-2.133 2.944v5.663H9.356V8.995h3.413v1.566h.047c.473-.9 1.636-1.852 3.365-1.852 3.605 0 4.27 2.372 4.27 5.457v6.286Z\"\u003E\u003C/path\u003E\u003C/svg\u003E\u003C/div\u003E\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E\u003C/div\u003E\u003Cdiv data-testid=\"snowflake-footer-facebook\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://www.facebook.com/snowflakedb/\" data-testid=\"button-external\" aria-label=\"Facebook\" role=\"button\" class=\"snowflake-button-container\" title=\"Facebook\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"button-icon\"\u003E\u003Cpath d=\"M24 12c0-6.627-5.373-12-12-12S0 5.373 0 12c0 5.99 4.388 10.954 10.125 11.854V15.47H7.078V12h3.047V9.356c0-3.007 1.792-4.668 4.533-4.668 1.312 0 2.686.234 2.686.234v2.953H15.83c-1.491 0-1.956.925-1.956 1.875V12h3.328l-.532 3.469h-2.796v8.385C19.612 22.954 24 17.99 24 12Z\"\u003E\u003C/path\u003E\u003C/svg\u003E\u003C/div\u003E\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E\u003C/div\u003E\u003Cdiv data-testid=\"snowflake-footer-youtube\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://www.youtube.com/user/snowflakecomputing\" data-testid=\"button-external\" aria-label=\"YouTube\" role=\"button\" class=\"snowflake-button-container\" title=\"YouTube\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"button-icon\"\u003E\u003Cpath d=\"M23.76 7.2s-.233-1.655-.955-2.381c-.914-.956-1.936-.961-2.405-1.017-3.356-.244-8.395-.244-8.395-.244h-.01s-5.039 0-8.395.244c-.469.056-1.49.06-2.405 1.017C.473 5.545.244 7.2.244 7.2S0 9.145 0 11.086v1.819c0 1.94.24 3.886.24 3.886s.233 1.654.95 2.38c.915.957 2.115.924 2.65 1.027 1.92.183 8.16.24 8.16.24s5.044-.01 8.4-.249c.469-.056 1.49-.06 2.405-1.017.722-.727.956-2.381.956-2.381S24 14.85 24 12.905v-1.819c0-1.94-.24-3.886-.24-3.886ZM9.52 15.113V8.367l6.483 3.385-6.483 3.36Z\"\u003E\u003C/path\u003E\u003C/svg\u003E\u003C/div\u003E\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E\u003C/div\u003E\r\n\u003C/div\u003E",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["container","text_copy_copy_16360","markup_editor"]}},":itemsOrder":["container"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["container_112062425"]},"markup_editor_copy":{"id":"markup-editor-4239ecdb78","title":"New css","cssContent":".snowflake-image-container img{background-color:transparent}div.snowflake-person-chip-avatar{width:80px !important}#snowflake-blog-template-main-container .aem-GridColumn:has(.vertical-video){background-color:#000;border-radius:16px;overflow:hidden}#snowflake-blog-template-main-container .vertical-video{max-width:240px;margin-left:auto;margin-right:auto}@media screen and (min-width:1367px){.dynamic .heading-1-v2 .snowflake-title-v2-line{font-size:72px !important;line-height:60px !important}}.snowflake-flexible-column-container-items-alignment-match-height .download-card,.snowflake-flexible-column-container-items-alignment-match-height .download-card\u003E.container{height:100%}.download-card div.code-toolbar\u003E.toolbar .copy-to-clipboard-button{background-color:white;border:1px solid #a9e1f6;margin-right:4px;top:6px;border-radius:16px;height:26px;width:40px}.download-card .snowflake-code-snippet\u003Ediv.code-toolbar\u003E.toolbar\u003E.toolbar-item\u003Ebutton:before{content:'';background-image:url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='16' height='16' viewBox='0 0 24 24' fill='none' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3E%3Crect x='9' y='9' width='13' height='13' rx='2' ry='2' style='stroke:%23249EDC;'%3E%3C/rect%3E%3Cpath d='M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1' style='stroke:%23249EDC;'%3E%3C/path%3E%3C/svg%3E\");background-size:auto 65%;background-position:center;background-repeat:no-repeat;top:0;left:0;width:100%;height:100%}.download-card .snowflake-code-snippet\u003Ediv.code-toolbar\u003E.toolbar\u003E.toolbar-item\u003Ebutton:hover:before{background-image:url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='16' height='16' viewBox='0 0 24 24' fill='none' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3E%3Crect x='9' y='9' width='13' height='13' rx='2' ry='2' style='stroke:%23fff;'%3E%3C/rect%3E%3Cpath d='M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1' style='stroke:%23fff;'%3E%3C/path%3E%3C/svg%3E\")}.download-card\u003Ediv{background-color:#fff;border:1px solid #ccc;border-radius:8px;padding:24px}.download-chip__headline{border-bottom:1px solid #ccc;padding-bottom:16px;margin-bottom:16px}.download-chip{padding:8px 12px !important;border-radius:4px;transition:300ms ease background-color}.download-chip .black-blue-text-color .snowflake-title-v2-line{color:#000 !important;padding-right:24px;font-family:'Lato',sans-serif;font-size:14px !important;font-weight:500 !important}.download-chip .black-blue-text-color .snowflake-title-v2-line:not(:first-child){opacity:.6;font-style:italic !important}.download-chip .snowflake-content-chip-button{display:none}.download-chip.is-external-link{background-size:16px 16px;background-image:url(\"data:image/svg+xml,%3Csvg width='15' height='15' viewBox='0 0 15 15' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M1.06055 13.0607L11.8605 2.26067M13.0605 10.6607V1.06067H3.46055' stroke='%23249EDC' stroke-width='2.12132' stroke-linecap='round' stroke-linejoin='round'/%3E%3C/svg%3E%0A\")}.download-chip{background-image:url(\"data:image/svg+xml,%3Csvg width='18' height='18' viewBox='0 0 18 18' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cg clip-path='url(%23clip0_883_7979)'%3E%3Cpath d='M3.375 16.875H14.625' stroke='%23249EDC' stroke-width='1.40625' stroke-linecap='round' stroke-linejoin='round'/%3E%3Cpath d='M9 1.125V11.25' stroke='%23249EDC' stroke-width='1.40625' stroke-linecap='round' stroke-linejoin='round'/%3E%3Cpath d='M4.5 7.875L9 12.375L13.5 7.875' stroke='%23249EDC' stroke-width='1.40625' stroke-linecap='round' stroke-linejoin='round'/%3E%3C/g%3E%3Cdefs%3E%3CclipPath id='clip0_883_7979'%3E%3Crect width='18' height='18' fill='white'/%3E%3C/clipPath%3E%3C/defs%3E%3C/svg%3E%0A\");background-size:24px auto;background-repeat:no-repeat;background-position:calc(100% - 12px) center}.download-chip__headline{display:flex;gap:16px;flex-direction:row !important;flex-wrap:nowrap}.download-chip__headline::before{content:'';display:inline-block;width:24px;height:24px;background-position:center;background-image:url(\"data:image/svg+xml,%3Csvg width='21' height='21' viewBox='0 0 21 21' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7.50005 9.89999C8.13657 9.89999 8.74702 9.64713 9.19711 9.19704C9.64719 8.74696 9.90005 8.13651 9.90005 7.49999V2.69999C9.90005 2.06347 9.64719 1.45302 9.19711 1.00293C8.74702 .552844 8.13657 .299988 7.50005 .299988H2.70005C2.06353 .299988 1.45308 .552844 1.00299 1.00293C.552905 1.45302 .300049 2.06347 .300049 2.69999V7.49999C.300049 8.13651 .552905 8.74696 1.00299 9.19704C1.45308 9.64713 2.06353 9.89999 2.70005 9.89999H7.50005ZM7.50005 7.49999H2.70005V2.69999H7.50005V7.49999Z' fill='%23249EDC' stroke='white' stroke-width='.6'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7.50005 20.3C8.13657 20.3 8.74702 20.0472 9.19711 19.5971C9.64719 19.147 9.90005 18.5365 9.90005 17.9V13.1C9.90005 12.4635 9.64719 11.853 9.19711 11.403C8.74702 10.9529 8.13657 10.7 7.50005 10.7H2.70005C2.06353 10.7 1.45308 10.9529 1.00299 11.403C.552905 11.853 .300049 12.4635 .300049 13.1V17.9C.300049 18.5365 .552905 19.147 1.00299 19.5971C1.45308 20.0472 2.06353 20.3 2.70005 20.3H7.50005ZM7.50005 17.9H2.70005V13.1H7.50005V17.9Z' fill='%23249EDC' stroke='white' stroke-width='.6'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M17.9001 9.89999C18.5366 9.89999 19.147 9.64713 19.5971 9.19704C20.0472 8.74696 20.3001 8.13651 20.3001 7.49999V2.69999C20.3001 2.06347 20.0472 1.45302 19.5971 1.00293C19.147 .552844 18.5366 .299988 17.9001 .299988H13.1001C12.4636 .299988 11.8531 .552844 11.403 1.00293C10.9529 1.45302 10.7001 2.06347 10.7001 2.69999V7.49999C10.7001 8.13651 10.9529 8.74696 11.403 9.19704C11.8531 9.64713 12.4636 9.89999 13.1001 9.89999H17.9001ZM17.9001 7.49999H13.1001V2.69999H17.9001V7.49999Z' fill='%23249EDC' stroke='white' stroke-width='.6'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M17.9001 20.3C18.5366 20.3 19.147 20.0472 19.5971 19.5971C20.0472 19.147 20.3001 18.5365 20.3001 17.9V13.1C20.3001 12.4635 20.0472 11.853 19.5971 11.403C19.147 10.9529 18.5366 10.7 17.9001 10.7H13.1001C12.4636 10.7 11.8531 10.9529 11.403 11.403C10.9529 11.853 10.7001 12.4635 10.7001 13.1V17.9C10.7001 18.5365 10.9529 19.147 11.403 19.5971C11.8531 20.0472 12.4636 20.3 13.1001 20.3H17.9001ZM17.9001 17.9H13.1001V13.1H17.9001V17.9Z' fill='%23249EDC' stroke='white' stroke-width='.6'/%3E%3C/svg%3E%0A\");background-size:contain;background-repeat:no-repeat}.download-chip__headline.is-cli::before{background-image:url(\"data:image/svg+xml,%3Csvg width='24' height='24' viewBox='0 0 24 24' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M4 17L10 11L4 5' stroke='%23000' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'/%3E%3Cpath d='M12 19H20' stroke='%23000' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'/%3E%3C/svg%3E%0A\")}.download-card pre[class*=language-]{padding:8px 12px;background-color:var(--ui-background-05);overflow:hidden}.download-chip__headline.is-windows,.download-chip__headline.is-mac{gap:12px}.download-chip__headline.is-windows::before{width:16px;height:20px;background-image:url(\"data:image/svg+xml,%3Csvg width='4875' height='4875' viewBox='0 0 4875 4875' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cg clip-path='url(%23clip0_122_201)'%3E%3Cpath d='M0 0H2311V2310H0V0ZM2564 0H4875V2310H2564V0ZM0 2564H2311V4875H0V2564ZM2564 2564H4875V4875H2564' fill='%23000'/%3E%3C/g%3E%3C/svg%3E\")}.download-chip__headline.is-mac::before{width:16px;height:20px;background-image:url(\"data:image/svg+xml,%3Csvg version='1.1' id='Layer_1' xmlns:x='ns_extend;' xmlns:i='ns_ai;' xmlns:graph='ns_graphs;' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' x='0' y='0' viewBox='0 0 41.5 51' style='enable-background:new 0 0 41.5 51;' xml:space='preserve'%3E%3Cmetadata%3E%3Csfw xmlns='ns_sfw;'%3E%3Cslices%3E%3C/slices%3E%3CsliceSourceBounds bottomLeftOrigin='true' height='51' width='41.5' x='166.1' y='-208.1'%3E%3C/sliceSourceBounds%3E%3C/sfw%3E%3C/metadata%3E%3Cg%3E%3Cpath d='M40.2,17.4c-3.4,2.1-5.5,5.7-5.5,9.7c0,4.5,2.7,8.6,6.8,10.3c-.8,2.6-2,5-3.5,7.2c-2.2,3.1-4.5,6.3-7.9,6.3s-4.4-2-8.4-2 c-3.9,0-5.3,2.1-8.5,2.1s-5.4-2.9-7.9-6.5C2,39.5,.1,33.7,0,27.6c0-9.9,6.4-15.2,12.8-15.2c3.4,0,6.2,2.2,8.3,2.2 c2,0,5.2-2.3,9-2.3C34.1,12.2,37.9,14.1,40.2,17.4z M28.3,8.1C30,6.1,30.9,3.6,31,1c0-.3,0-.7-.1-1c-2.9,.3-5.6,1.7-7.5,3.9 c-1.7,1.9-2.7,4.3-2.8,6.9c0,.3,0,.6,.1,.9c.2,0,.5,.1,.7,.1C24.1,11.6,26.6,10.2,28.3,8.1z'%3E%3C/path%3E%3C/g%3E%3C/svg%3E\")}.download-chip__headline.is-desktop::before{background-image:url(\"data:image/svg+xml,%3Csvg width='24' height='24' viewBox='0 0 24 24' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cg opacity='.8'%3E%3Cpath d='M1.5 21H22.5V18H1.5V21Z' fill='%23000' stroke='white' stroke-width='.75'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M19.5 15C20.2956 15 21.0587 14.6839 21.6213 14.1213C22.1839 13.5587 22.5 12.7956 22.5 12V6C22.5 5.20435 22.1839 4.44129 21.6213 3.87868C21.0587 3.31607 20.2956 3 19.5 3H4.5C3.70435 3 2.94129 3.31607 2.37868 3.87868C1.81607 4.44129 1.5 5.20435 1.5 6V12C1.5 12.7956 1.81607 13.5587 2.37868 14.1213C2.94129 14.6839 3.70435 15 4.5 15H19.5ZM19.5 12H4.5V6H19.5V12Z' fill='%23000' stroke='white' stroke-width='.75'/%3E%3C/g%3E%3C/svg%3E%0A\")}.download-card .snowflake-code-snippet,.download-card .snowflake-code-snippet code,.download-card .snowflake-code-snippet pre{font-size:14px;color:#000;text-shadow:none !important}.download-chip:hover{background-color:var(--ui-background-05) !important;transition:300ms ease background-color}body:has(.snowflake-skip-to-content[style]) #subNav,.pushdown-banner-dismissed #subNav{top:var(--scroll-padding-top) !important;transition:300ms ease top}body:has(.snowflake-skip-to-content[style*=\"58\"]) #subNav{top:34px !important}body:has(.snowflake-skip-to-content[style*=\"82\"]) #subNav{top:58px !important}body:has(.snowflake-skip-to-content[style*=\"130\"]) #subNav{top:106px !important}body:has(.snowflake-skip-to-content[style*=\"138\"]) #subNav{top:114px !important}body:has(.snowflake-skip-to-content[style*=\"146\"]) #subNav{top:122px !important}.is-hidden .snowflake-person-chip-avatar{display:none}.is-small .snowflake-person-chip-avatar{width:56px;height:56px}.ai-summary ul{margin:16px 0 0 0 !important;padding:0 !important;list-style-type:none}.ai-summary li{margin:0;padding:0 0 0 32px;position:relative}.ai-summary li::before{content:\"\";display:block;border-radius:100%;background:#29b5e8;width:18px;height:18px;position:absolute;top:4px;left:0;border:5px solid #e5f2f7;box-sizing:border-box}.ai-summary li:not(:last-child){margin-bottom:1rem}.snowflake-content-chip-image__image{aspect-ratio:5 / 3 !important}.content-chip-new .snowflake-content-chip-image__image{height:100% !important;aspect-ratio:unset !important}.snapshot-card .snowflake-text p:not(:first-child){margin-top:var(--spacing-01)}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(2) p:has(b){font-family:'Texta',sans-serif;margin-top:24px}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(2) p b{font-weight:700 !important}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(2){border-bottom:1px solid #ccc;padding-bottom:24px}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(3) p:first-child:has(b){font-family:'Texta',sans-serif;font-size:20px !important;margin-bottom:1rem !important}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(3) li{display:inline-block}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(3) li a{display:inline-block;text-decoration:none;padding:4px 16px !important;border:1px solid #ccc;border-radius:24px;color:#666 !important}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(3) ul{list-style-type:none;display:flex;padding:0 !important;margin:0 !important;gap:12px}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container img{width:90%;max-width:240px;margin:0 auto}.snapshot-card\u003E.container\u003E.cmp-container\u003E.aem-container{padding:40px;max-width:450px;margin:0 0 0 auto;background-color:#fff;box-shadow:0 2px 6px 0 rgba(152,162,179,.25),0 10px 20px 0 rgba(152,162,179,.10);border-radius:8px;border-top:4px solid var(--ui-01)}.ai-summary{background-color:#f3fbfe;border-left:2px solid var(--ui-01);padding:40px}.ai-summary\u003Espan p:last-child:has(i){color:#666;font-size:14px !important}.ai-summary\u003Espan p:last-child:has(i) a{color:#666 !important;text-decoration:underline !important}.ai-summary\u003Espan p:last-child:has(i) a:hover{color:var(--ui-01) !Important}.ai-summary\u003Espan p:first-child:has(b)::after{content:'';display:inline-block;width:20px;height:20px;background-image:url(\"data:image/svg+xml,%3Csvg width='24' height='24' viewBox='0 0 24 24' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9.3158 3.15226C8.6475 6.2258 6.22698 8.64545 3.15232 9.31587C2.94923 9.36072 2.94923 9.63928 3.15232 9.68413C6.22698 10.3522 8.6475 12.7742 9.3158 15.8477C9.36067 16.0508 9.63933 16.0508 9.6842 15.8477C10.3525 12.7742 12.773 10.3545 15.8477 9.68413C16.0508 9.63928 16.0508 9.36072 15.8477 9.31587C12.773 8.64781 10.3525 6.2258 9.6842 3.15226C9.63933 2.94925 9.36067 2.94925 9.3158 3.15226Z' fill='%23249EDC'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M17.3725 11.5461C16.9098 13.6739 15.2341 15.3491 13.1054 15.8132C12.9649 15.8443 12.9649 16.0371 13.1054 16.0681C15.2341 16.5307 16.9098 18.2074 17.3725 20.3353C17.4035 20.4758 17.5965 20.4758 17.6275 20.3353C18.0902 18.2074 19.7659 16.5323 21.8946 16.0681C22.0352 16.0371 22.0352 15.8443 21.8946 15.8132C19.7659 15.3507 18.0902 13.6739 17.6275 11.5461C17.5965 11.4055 17.4035 11.4055 17.3725 11.5461Z' fill='%23249EDC'/%3E%3C/svg%3E%0A\");background-repeat:no-repeat;background-size:contain;background-position:center;vertical-align:middle;margin-left:8px}.ai-summary\u003Espan p:first-child:has(b){color:var(--ui-01) !important;text-transform:uppercase}.border-top{border-top:1px solid rgba(0,0,0,.2)}.border-top\u003Espan{display:block;padding-top:32px}body .snowflake-card-v2-advanced-image__image{aspect-ratio:16 / 9 !important}.content-chip-new .snowflake-content-chip-image__image{border-radius:0;object-fit:cover;height:100%}.sf-footer #ot-sdk-btn.ot-sdk-show-settings,.sf-footer #ot-sdk-btn.optanon-show-settings{color:rgba(255,255,255,.7) !important;text-underline-offset:4px;border-top:none;border-left:none;border-right:none;border-bottom:1px dotted transparent;background-color:transparent !important;background-image:none !important;transition:300ms ease text-decoration-color;padding:0 !important;font-size:12px;font-family:'Lato',sans-serif}.sf-footer #ot-sdk-btn.ot-sdk-show-settings:hover,.sf-footer #ot-sdk-btn.optanon-show-settings:hover{color:rgba(255,255,255,1) !important;border-bottom:1px dotted var(--ui-01);transition:300ms ease text-decoration-color}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:last-child{flex-shrink:0}.sf-footer__disclaimers{background-color:#042130}.sf-footer__disclaimers .snowflake-simple-stat-disclaimer p a{color:inherit;text-decoration:none !important}.sf-footer__disclaimers .snowflake-simple-stat-disclaimer p sup{margin-right:2px}.sf-footer__disclaimers .snowflake-simple-stat-disclaimer p{text-indent:-5px;padding-left:5px}.sf-footer__disclaimers-inner{border-top:1px solid rgba(255,255,255,.25);padding:40px 0}.sf-footer__disclaimers .snowflake-simple-stat{align-items:flex-start;text-align:left;color:rgba(255,255,255,.7);margin-bottom:10px}.sf-footer__social{display:flex;justify-content:center;gap:12px}.sf-footer .snowflake-footer-social-item{margin:0 !important}.sf-footer .snowflake-footer-social-item a{line-height:0;background-color:rgba(3,24,35,.8);display:inline-block;width:48px !important;height:48px;border-radius:8px;display:inline-flex;justify-content:center;align-items:center;transition:300ms ease background-color}.sf-footer .snowflake-footer-social-item a:hover{background-color:var(--ui-01) !important;transition:300ms ease background-color}.sf-footer__bottom{padding-bottom:40px}.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoError .mktoErrorMsg{max-width:100%;color:#fff}.sf-footer .mktoForm .mktoError .mktoErrorMsg .mktoErrorDetail{display:inline-block}.sf-footer .mktoFormRow:has(.mktoHtmlText:empty){display:none}.sf-footer .mktoFormRow .mktoHtmlText span{color:#fff !important}.sf-footer{background-color:#042130}.sf-footer .optanon-toggle-display:hover{text-decoration-color:var(--ui-01) !important;cursor:pointer !important;text-underline-offset:4px;text-decoration-style:dotted !important;text-decoration-color:var(--ui-01);color:#fff !important;transition:300ms ease text-decoration-color;text-decoration:underline;opacity:1}.sf-footer__logo{width:40px}.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container{row-gap:32px}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;justify-content:space-between;align-items:center;text-align:center;row-gap:16px}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(2){text-align:center;flex-grow:1}.sf-footer__legal-links li button,.sf-footer__legal-links li a,.sf-footer__legal-links li{margin:0;color:rgba(255,255,255,.7) !important;font-weight:500}.sf-footer__legal-links li a:hover{color:rgba(255,255,255,1) !important}.sf-footer div.sf-footer__copyright p,.sf-footer div.sf-footer__legal-links li,.sf-footer div.sf-footer__legal-links a,.sf-footer div.sf-footer__legal-links p{font-size:12px !important}.sf-footer__legal-links ul{list-style-type:none;margin:0;padding:0;display:flex;gap:20px;row-gap:4px;justify-content:center;flex-wrap:wrap;text-align:center}.sf-footer__legal-links li:last-child{width:100%}.sf-footer .mktoFormRow:has(.mktoPlaceholder),.sf-footer .mktoFormRow:has(input[type=\"hidden\"]){display:none !important}.sf-footer .mktoFormCol{margin-bottom:0 !important}.sf-footer label[for=\"adhoc1\"]{width:auto !important;flex-grow:1;margin-left:16px}.sf-footer .mktoFieldWrap:has(label[for=\"adhoc1\"]){display:flex;flex-direction:row-reverse;margin-top:22px}.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoCheckboxList input[type=checkbox]{background-color:transparent !important;border:1px solid rgba(255,255,255,.4) !important;border-radius:4px !important}.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoEmailField,.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoTelField,.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoTextField,.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap select{background-color:transparent !important;color:#fff !important;height:auto !important;border:1px solid rgba(255,255,255,.4) !important;border-radius:4px !important;padding:12px 18px !important}.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoEmailField:focus,.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoTelField:focus,.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoTextField:focus,.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap select:focus{border-color:var(--ui-01) !important}.sf-footer .mktoForm *{padding:0 !important}.sf-footer .mktoForm,.sf-footer .snowflake-marketo-form-container{padding:0 !important;background:transparent;margin-bottom:0;box-shadow:none}.sf-footer .mktoHtmlText.mktoHasWidth{width:100% !important;margin:24px 0}.sf-footer .mktoFormRow{flex-direction:column}.sf-footer .mktoForm .mktoButtonWrap{margin:0 !important}.sf-footer select{background-image:url(\"data:image/svg+xml,%3Csvg width='14' height='8' viewBox='0 0 14 8' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M.981445 1.43496L6.90897 7.32496L12.9314 1.33496' stroke='white' stroke-width='1.33333' stroke-miterlimit='10' stroke-linecap='round' stroke-linejoin='round'/%3E%3C/svg%3E%0A\") !important}.sf-footer .snowflake-marketo-form .mktoButtonWrap.mktoNative{justify-content:flex-start}.sf-footer *::placeholder{color:#fff !important;opacity:.8}.sf-footer .mktoForm .mktoButtonWrap.mktoSimple .mktoButton{background-color:var(--ui-01) !important;color:#fff !important;width:100% !important;padding:12px 16px !important;border:1px solid var(--ui-01) !important;background-image:none !important;border-radius:48px;text-transform:uppercase;font-weight:800 !important;font-family:'Texta',sans-serif !important;font-size:16px !important;line-height:1.2}.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoHtmlText\u003Espan,.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap .mktoLabel\u003Espan,.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap label.mktoLabel{color:#fff !important}.sf-footer__newsletter-title p:not(:first-child){margin-top:8px !important}.sf-footer__newsletter-title p b{font-weight:800 !important;font-family:'Texta',sans-serif !important;font-size:22px !important;line-height:1.2}.sf-footer__newsletter-title p:last-child{font-size:14px !important;opacity:.8}.sf-footer__link-group li a[target=\"_blank\"]::after{content:'';display:inline-block;width:10px;height:10px;margin-left:5px;background-image:url(\"data:image/svg+xml,%3Csvg width='11' height='11' viewBox='0 0 11 11' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M6.72222 1.22222C6.38471 1.22222 6.11111 .948616 6.11111 .611111C6.11111 .273607 6.38471 0 6.72222 0H10.3889C10.551 0 10.7064 .0643867 10.821 .178988C10.9356 .293596 11 .449032 11 .611111V4.27778C11 4.61529 10.7264 4.88889 10.3889 4.88889C10.0514 4.88889 9.77778 4.61529 9.77778 4.27778V2.08647L4.09879 7.76545C3.86013 8.00409 3.4732 8.00409 3.23454 7.76545C2.99589 7.52681 2.99589 7.13986 3.23454 6.90122L8.91355 1.22222H6.72222ZM0 2.44444C0 1.76943 .547207 1.22222 1.22222 1.22222H4.27778C4.61529 1.22222 4.88889 1.49583 4.88889 1.83333C4.88889 2.17084 4.61529 2.44444 4.27778 2.44444H1.22222V9.77778H8.55556V6.72222C8.55556 6.38471 8.82915 6.11111 9.16667 6.11111C9.50418 6.11111 9.77778 6.38471 9.77778 6.72222V9.77778C9.77778 10.4528 9.23059 11 8.55556 11H1.22222C.547207 11 0 10.4528 0 9.77778V2.44444Z' fill='white'/%3E%3C/svg%3E%0A\");background-size:contain;background-repeat:no-repeat;background-position:center}.sf-footer__link-group ul,.sf-footer__link-group li{margin:0;padding:0;list-style-type:none}.sf-footer__link-group ul{margin-top:20px !important}.sf-footer__link-group li{margin-top:15px}.sf-footer div.sf-footer__link-group\u003Espan\u003Ep\u003Ea,.sf-footer div.sf-footer__link-group\u003Espan\u003Ep{color:var(--ui-01) !important;font-weight:800 !important;font-family:'Texta',sans-serif !important;font-size:20px !important;line-height:1.2}.sf-footer__link-group li a{opacity:.9;color:#fff !important;font-weight:500 !important;font-size:15px !important;line-height:1.3}.sf-footer__link-group li a:hover{opacity:1}.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container::before,.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container::after{display:none}.sf-footer__column{flex-grow:1}.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:not(:first-child){width:50%}@media (min-width:800px){.sf-footer__legal-links ul{justify-content:flex-start;text-align:left}.sf-footer__social{justify-content:flex-end}.sf-footer__legal-links ul{padding-left:24px}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container{text-align:right;flex-wrap:nowrap}.sf-footer__legal-links.align-left ul{justify-content:flex-start}.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;justify-content:space-between;flex-direction:row}.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:auto !important;max-width:200px}.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:first-child{flex-grow:1;order:2;width:100% !important;max-width:none}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:auto}}@media screen and (min-width:1380px){.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container{flex-wrap:nowrap}.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:first-child{padding-right:48px;max-width:380px;background-color:rgba(3,24,35,.4);padding:32px;margin-left:48px;border-radius:16px}.sf-footer__link-group li,.sf-footer__link-group li a{font-size:14px !important;line-height:1.3}}@media screen and (max-width:991px){.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:first-child{order:2;margin-top:24px !important}}@media screen and (max-width:420px){.is-reduced-mobile .heading-1-v2,.is-reduced-mobile .heading-1-v2-sm{font-size:32px;line-height:28px}}.quote-content-chip{background-color:var(--ui-background-05);padding:24px;border-radius:12px;position:relative}.quote-content-chip .black-blue-text-color .snowflake-title-v2-line\u003Espan{color:rgba(0,0,0,.8) !important;font-size:15px !important;line-height:1.5 !important;font-family:'Lato',sans-serif;font-weight:400 !important}.quote-content-chip .black-blue-text-color .snowflake-title-v2-line\u003Espan:not(:first-child){max-width:calc(100% - 200px)}.quote-content-chip .black-blue-text-color .snowflake-title-v2-line\u003Espan:nth-child(2){font-family:'Texta',sans-serif;color:#000 !important;font-size:20px !important;font-weight:800 !important;margin-top:24px}.quote-content-chip .snowflake-content-chip-image{width:140px !important}@media screen and (min-width:992px){.quote-content-chip .snowflake-content-chip-image{position:absolute !important;bottom:24px;right:16px}}@media screen and (max-width:991px){.quote-content-chip .snowflake-content-chip-image{margin-bottom:40px}.quote-content-chip{flex-direction:column}}#spa-root{background-color:#fff}.lowercase .snowflake-title-v2-line{text-transform:none !important}.centered .snowflake-logo-content-container-inner{justify-content:center}div.snowflake-linklist-dropdown-menu{max-height:380px}.first-line-blue .snowflake-typographyv2 .snowflake-title-v2-line:first-child{color:var(--ui-01) !important}.is-front{position:relative;z-index:2}.use-case-body .snowflake-text h1,.use-case-body .snowflake-text h2,.use-case-body .snowflake-text h3,.use-case-body .snowflake-text h4,.use-case-body .snowflake-text h5,.use-case-body .snowflake-text h6{font-family:'Texta',sans-serif;color:#000;margin:.25rem 0 0 0}.pc-hero .button-group\u003E.container\u003E.cmp-container\u003E.aem-container{justify-content:flex-start}.sf-footer .mktoFormRow .mktoHtmlText span{font-family:'Lato',sans-serif !important}.snowflake-button-primary.snowflake-button-blue .snowflake-button-container{justify-content:center}.related-chip-25{background-color:#fff;border:1px solid rgba(204,204,204,.5);border-radius:8px;padding:20px;position:relative}.related-chip-25:hover{box-shadow:rgba(152,162,179,.1) 0 10px 20px 0}.related-chip-25:hover::after{right:24px;transition:300ms ease right}.related-chip-25::after{content:'';display:block;transition:300ms ease right;background-image:url(\"data:image/svg+xml,%3Csvg width='8' height='14' viewBox='0 0 8 14' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7.66699 7C7.66699 6.6571 7.53559 6.32825 7.30169 6.08578L2.34446 .947072C1.84529 .429617 1.0164 .429617 .517219 .947072C.0427878 1.43887 .042788 2.21798 .517219 2.70978L4.65591 7L.51722 11.2902C.0427889 11.782 .0427887 12.5611 .51722 13.0529C1.0164 13.5704 1.84529 13.5704 2.34447 13.0529L7.30169 7.91421C7.53559 7.67175 7.66699 7.34289 7.66699 7Z' fill='%2329B5E8'/%3E%3C/svg%3E%0A\");width:8px;height:14px;display:block;position:absolute;right:30px;top:50%;transform:translateY(-50%);background-size:contain;background-position:center;background-repeat:no-repeat}.related-chip-25 .heading-5-v2{font-size:22px;line-height:1.1}.related-chip-25 .snowflake-content-chip-image{width:48px;flex-shrink:0}.related-chip-25 .snowflake-content-chip-image__image{aspect-ratio:1;height:auto;object-fit:contain}.related-chip-25 .snowflake-content-chip-button{display:none}.related-chip-25 .snowflake-content-chip-content-without-tag{flex-grow:1;padding-right:24px}.case-study-25.small-logo .snowflake-case-study-card-logo img{width:60px !important}.swiper-slide .case-study-25{width:95%;margin-left:auto;margin-right:auto}.case-study-25 .snowflake-case-study-card-logo img{width:140px !important;height:auto !important;transform:none !important;margin:24px 0 8px 0}.case-study-25 .snowflake-case-study-card-image__image{object-position:left center}.case-study-25 .snowflake-case-study-card-information-container{padding-right:24px}.case-study-25 ul{list-style-type:none;padding:0;margin:8px 0 0 0}.case-study-25 li{font-size:15px !important;line-height:1.3 !important;display:flex;flex-direction:column;border-left:4px solid var(--ui-01);padding-left:24px;margin-top:24px;color:#535862;gap:4px}.case-study-25 li b{display:block;font-family:'Texta',sans-serif;font-weight:900 !important;font-size:48px !important;line-height:.9 !important;color:var(--ui-01)}.case-study-25 .snowflake-case-study-card-description p{color:#535862}.case-study-25 .snowflake-case-study-card-description p:nth-child(2):not(:has(a)){color:#000;font-family:Texta;font-size:30px !important;line-height:1 !important;font-style:normal;font-weight:700;text-indent:-8px}.case-study-25.is-story .snowflake-case-study-card-description p:nth-child(2):not(:has(a)){text-indent:0}.case-study-25 .snowflake-case-study-card-key-card{background-color:transparent}.case-study-25 .snowflake-case-study-card-button{display:none}.case-study-25{border-radius:24px;overflow:hidden}@media screen and (min-width:1024px){.case-study-25 .snowflake-case-study-card-left-container{position:static;width:60%;min-height:0}.case-study-25 .snowflake-case-study-card-right-container::after{content:'';display:block;width:60%;max-width:340px;padding-bottom:50%;background-image:url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 22 16' class='snowflake-pushdown-banner-placeholder-arrow'%3E%3Cpath fill='%2329B5E8' fill-rule='evenodd' d='M17.865 8.756c.088-.274.124-.555.118-.834a2.551 2.551 0 0 0-1.3-2.142L7.887.76C6.645.055 5.063.475 4.35 1.7a2.535 2.535 0 0 0 .947 3.494l4.916 2.809-4.916 2.801a2.543 2.543 0 0 0-.947 3.502c.713 1.222 2.295 1.64 3.537.934l8.796-5.024a2.541 2.541 0 0 0 1.182-1.46Z' clip-rule='evenodd'%3E%3C/path%3E%3C/svg%3E\");background-size:contain;background-repeat:no-repeat;position:absolute;top:-10%;left:-20%}.case-study-25 .snowflake-case-study-card-right-container{max-width:none;width:40%;position:absolute;top:-5%;right:-5%;z-index:0;height:110%}}@media screen and (min-width:768px){.case-study-25 li{max-width:50%}.case-study-25 ul{display:flex;gap:48px}}.snowflake-text.section-eyebrow p{margin-left:auto;margin-right:auto;margin-bottom:16px !important}.snowflake-text.section-eyebrow p,.snowflake-text.eyebrow-text p{text-transform:uppercase;font-family:'Texta',sans-serif !important;font-weight:800 !important;letter-spacing:.025em;margin-bottom:12px;line-height:1.1 !important}.snowflake-title-v2.dynamic .heading-2-v2 span.snowflake-title-v2-line{font-size:clamp(2.5rem,4.5vw,4rem) !important;line-height:.82 !important}.checklist ul{padding:0;margin:0}.checklist ul li{list-style-type:none;padding-left:32px;position:relative}.checklist ul li:not(:last-child){margin-bottom:1em}.checklist ul li::before{content:'';display:inline-block;width:20px;height:20px;background-image:url(\"data:image/svg+xml,%3Csvg width='24' height='25' viewBox='0 0 24 25' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Crect y='.985352' width='24' height='24' rx='12' fill='%23D4F0FA'/%3E%3Cpath d='M7.28613 13.2967L10.7147 16.7253L17.5718 9.86816' stroke='%2329B5E8' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'/%3E%3C/svg%3E%0A\");background-size:contain;background-repeat:no-repeat;position:absolute;top:3px;left:0}.last-line-blue .snowflake-typographyv2 .snowflake-title-v2-line:last-child{color:var(--ui-01)}.snowflake-text p sup{line-height:0}.snowflake-title-v2.lowercase .heading-3-v2{font-size:28px;line-height:1;text-transform:none;font-weight:700}.snowflake-title-v2.lowercase .heading-2-v2{font-size:32px;line-height:1;text-transform:none;font-weight:700}.content-chip-new{border:1px solid rgba(204,204,204,.5);border-radius:16px;overflow:hidden}.content-chip-new .snowflake-image-container{border-radius:0;display:none}.content-chip-new .snowflake-content-chip-image{margin-right:0;max-width:180px;flex-shrink:0}.content-chip-new .snowflake-content-chip-content{padding:24px}.content-chip-new .black-blue-text-color .snowflake-title-v2-line:first-child{font-size:24px;line-height:1.1}.content-chip-new .black-blue-text-color .snowflake-title-v2-line:not(:first-child){font-family:'Lato',sans-serif;font-size:17px;color:#535862 !important;font-weight:500;line-height:1.45;margin-top:8px;display:none}div.snowflake-text a{font-weight:normal;color:var(--ui-01);text-decoration:underline;text-underline-offset:4px;text-decoration-style:dotted !important;text-decoration-color:transparent;transition:300ms ease text-decoration-color}div.snowflake-text a:hover{text-decoration-color:var(--ui-01);transition:300ms ease text-decoration-color}.footer-nav__link-group .snowflake-button-container,.subnav__item--button,.snowflake-card-v2-advanced-button .snowflake-button-container{justify-content:flex-start}.button-container\u003E.container\u003E.cmp-container\u003E.aem-container{align-items:center}.button-container\u003E.container\u003E.cmp-container\u003E.aem-container .snowflake-button-primary+.snowflake-button-link{margin-left:12px !important}.snowflake-button-regular.snowflake-button-link .snowflake-button-container{font-size:18px !important;text-align:left;justify-content:flex-start;line-height:1.4 !important}body .snowflake-card-v2-advanced{border:1px solid rgba(204,204,204,.5);border-radius:var(--spacing-02);transition:300ms ease all}body .snowflake-card-v2-advanced:hover{transform:translateY(-10px);box-shadow:rgba(152,162,179,.1) 0 10px 20px 0;transition:300ms ease all}body .snowflake-card-v2-advanced-inner{border-bottom:none}body .snowflake-card-v2-advanced-image{line-height:0}body .snowflake-card-v2-advanced-image__image{aspect-ratio:16 / 9}body .snowflake-card-v2-advanced-content{position:relative}body .snowflake-card-v2-advanced-content::after{content:'';display:block;position:absolute;bottom:0;left:0;transition:300ms ease all;width:20%;height:4px;background-color:var(--ui-01);opacity:0}body .snowflake-card-v2-advanced:hover .snowflake-card-v2-advanced-content::after{width:100%;opacity:1;transition:300ms ease all}body .snowflake-card-v2-advanced .snowflake-button-link.snowflake-button-blue .snowflake-button-container\u003E.link-icon{transition:300ms ease transform}body .snowflake-card-v2-advanced:hover .snowflake-button-link.snowflake-button-blue .snowflake-button-container\u003E.link-icon{transform:translateX(4px);transition:300ms ease transform}.six-columns\u003E.container\u003E.cmp-container\u003E.aem-container,.three-columns\u003E.container\u003E.cmp-container\u003E.aem-container,.four-columns\u003E.container\u003E.cmp-container\u003E.aem-container,.five-columns\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-wrap:wrap;gap:24px}.six-columns.align-center\u003E.container\u003E.cmp-container\u003E.aem-container,.three-columns.align-center\u003E.container\u003E.cmp-container\u003E.aem-container,.four-columns.align-center\u003E.container\u003E.cmp-container\u003E.aem-container,.five-columns.align-center\u003E.container\u003E.cmp-container\u003E.aem-container{justify-content:center}.three-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:100%;margin:0 !important}.six-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.four-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.five-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(50% - 12px);margin:0 !important}@media screen and (min-width:768px){.three-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(50% - 12px)}.six-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.four-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.five-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(33.333% - 16px)}}@media screen and (min-width:1024px){.snowflake-title-v2.lowercase .heading-3-v2{font-size:34px}.snowflake-title-v2.lowercase.larger .heading-2-v2{font-size:44px;line-height:.95}.three-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(33.333% - 16px)}.four-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(25% - 18px)}.five-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(20% - 19.2px)}.six-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(16.6666% - 20px)}.snowflake-title-v2.lowercase .heading-3-v2{font-size:28px !important}}@media screen and (min-width:1200px){.snowflake-title-v2.lowercase .heading-2-v2{font-size:40px}.content-chip-new .snowflake-content-chip-content{padding:32px}.content-chip-new .snowflake-image-container,.content-chip-new .black-blue-text-color .snowflake-title-v2-line:not(:first-child){display:block}}.promo-banner-25{border-radius:16px;overflow:hidden}.promo-banner-25 .snowflake-premium-content-banner-image-container{position:relative;max-width:380px}.promo-banner-25 .snowflake-text{color:#535862}.promo-banner-25 .snowflake-premium-content-banner-image__image{transform:translateY(8px);transition:300ms ease transform;border-radius:0;width:85%;margin:0 auto;display:block;position:relative;z-index:1}.promo-banner-25 .snowflake-premium-content-banner-image__link:hover .snowflake-premium-content-banner-image__image{transform:translateY(0);transition:300ms ease transform}.promo-banner-25 .snowflake-premium-content-banner-image__inner{height:auto;padding-top:24px}.promo-banner-25 .snowflake-premium-content-banner-image__link{position:relative;z-index:1;height:auto}.promo-banner-25 .snowflake-premium-content-banner-image__link::after{content:'';display:block;position:absolute;clip-path:polygon(0 0,66% 0,100% 100%,0 100%);bottom:0;left:0;width:100%;height:100%;background:var(--ui-01);transition:300ms ease width}.promo-banner-25 .snowflake-premium-content-banner-image__link:hover::after{width:110%;transition:300ms ease width}.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap select{background-position:95% 50%}.sf-footer__disclaimers .text-size-small .snowflake-text p{color:#fff !important;font-size:10px !important;opacity:.8}@media screen and (min-width:768px){.sf-footer__disclaimers .text-size-small .snowflake-text p{font-size:12px !important}}@media screen and (max-width:1023px){.mobile-top-padding{padding-top:64px}}@media (max-width:799px){.sf-footer .snowflake-marketo-form .mktoButtonWrap.mktoNative .mktoButton{width:100% !important}.sf-footer__logo{text-align:center;display:block;margin:0 auto}}.customer-card .snowflake-card-v2-advanced-image{aspect-ratio:4.35 / 1}.customer-card .snowflake-card-v2-advanced-image__image{width:100%;height:100%;padding-left:8px;object-fit:contain;object-position:left center;margin:0 !important;aspect-ratio:initial}.customer-card .snowflake-card-v2-advanced-image__inner{height:110px}.customer-card .snowflake-card-v2-advanced-tag-indicator{display:none}.pc-hero .snowflake-container-arrow-small-gray-image{top:-34% !important;width:18% !important}.pc-hero .snowflake-container-arrow-small-gray-image path{fill:var(--ui-01);opacity:1}@media screen and (max-width:767px){.mobile-padding-top{padding-top:64px}.hide-mobile{display:none !important}.pc-hero{padding-top:52px}.pc-hero .snowflake-text p,.pc-hero .left-alignment .snowflake-title-v2-line,.pc-hero h1 span{text-align:center !important}}div.snowflake-pushdown-banner-button{margin-top:0}.button-group.align-center\u003E.container\u003E.cmp-container\u003E.aem-container{align-items:center;justify-content:center !important}.text-center .snowflake-breadcrumb-swiper .swiper-wrapper{justify-content:center}div.snowflake-breadcrumb a.snowflake-breadcrumb-item,.snowflake-breadcrumb div.snowflake-breadcrumb-item{text-transform:none;font-weight:500}.snowflake-breadcrumb svg{display:none !important}.snowflake-breadcrumb a:has(svg)::after{content:'/';margin:0 12px;color:#666}.hide-filters .snowflake-filterable-and-searchable-grid-top-part{display:none !important}.page-section{padding-left:24px;padding-right:24px}@media screen and (min-width:768px){.page-section{padding-left:48px;padding-right:48px}}.download-card pre[class*=language-]{overflow-x:scroll !important}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["container_copy","container_573483281_","markup_editor_copy"]}},":itemsOrder":["root"],"classNames":"aem-xf"},"markup_editor":{"id":"markup-editor-8bd302d575","title":"Quickstarts Overrides","cssContent":".snowflake-markdown blockquote{padding:24px 32px;background:#f6f9fa;border:1px solid #29b5e8;border-radius:16px}.snowflake-markdown .snowflake-image-container img{width:auto !important;max-width:100%}.snowflake-markdown .snowflake-text ol{padding-left:20px !important}.snowflake-markdown .snowflake-text li{margin:0 0 12px 0 !important}.snowflake-markdown h3.snowflake-markdown-h3{font-size:20px !important;font-family:Texta,sans-serif !important}@media (min-width:768px){.snowflake-markdown h3.snowflake-markdown-h3{font-size:28px !important}}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["experiencefragment-banner","experiencefragment-header","markup_editor_1950346551","responsivegrid","modal_container","experiencefragment-footer","markup_editor"],":type":"wcm/foundation/components/responsivegrid"}},":itemsOrder":["root"],":path":"/content/snowflake-site/global/en/developers/guides/geo-analysis-geometry",":hierarchyType":"page","analyticsContentTags":["snowflake-site:taxonomy/product/analytics","snowflake-site:taxonomy/snowflake-feature/unstructured-data-analysis","snowflake-site:taxonomy/solution-center/certification/quickstart"],"isPasswordProtected":false,"analyticsEnabled":true,"coveoConfig":{"apiKey":"xx335921a6-2a0a-40f2-a167-e390b4766c3d","organizationId":"snowflakecomputingproduction8neljofn","searchHub":"snowflake.com","pipeline":"snowflake.com"},"analyticsDebugMode":false,"analyticsData":{"excludeFromAnalytics":false,"subCategory":"","pageType":"quickstart-page-template","templateName":"quickstart-page-template","siteName":"snowflake","pageUrl":"/content/snowflake-site/global/en/developers/guides/geo-analysis-geometry","language":"en","category":"general","pageName":"Geospatial Analysis using Geometry and Geography Data Type","contentTags":["snowflake-site:taxonomy/product/analytics","snowflake-site:taxonomy/snowflake-feature/unstructured-data-analysis","snowflake-site:taxonomy/solution-center/certification/quickstart"]},"locale":"en"}