{"allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"templateName":"quickstart-page-template","cssClassNames":"page basicpage summit-page","language":"ko","title":"Snowflake 마켓플레이스, Snowpark, Streamlit으로 데이터 애플리케이션 구축","analyticsPageType":"quickstart-page-template","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,":mappedPath":"/ko/developers/guides/data-apps-summit-lab-kr/",":type":"snowflake-site/components/structure/page","analyticsData":{"excludeFromAnalytics":false,"subCategory":"","pageType":"quickstart-page-template","templateName":"quickstart-page-template","siteName":"snowflake","pageUrl":"/content/snowflake-site/global/ko/developers/guides/data-apps-summit-lab-kr","language":"ko","category":"general","pageName":"Snowflake 마켓플레이스, Snowpark, Streamlit으로 데이터 애플리케이션 구축","contentTags":["snowflake-site:taxonomy/solution-center/certification/quickstart","snowflake-site:taxonomy/snowflake-feature/build","snowflake-site:taxonomy/product/applications-and-collaboration"]},"analyticsContentTags":["snowflake-site:taxonomy/solution-center/certification/quickstart","snowflake-site:taxonomy/snowflake-feature/build","snowflake-site:taxonomy/product/applications-and-collaboration"],"analyticsEnabled":true,":items":{"root":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","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"},"columnCount":12,":items":{"experiencefragment-banner":{"id":"experiencefragment-f579613810","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ko/site/pushdown-banner/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","classNames":"aem-xf",":items":{"root":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"pushdown_banner_copy":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-ff41b1d33f",":type":"snowflake-site/components/container",":items":{"pushdown_banner_copy":{"id":"pushdown-banner-6e52213387","contentHeadline":"Snowflake World Tour 서울  2026년 8월 27일(목) ","contentDescription":"Making AI Real for Business","contentJustifyContent":"center","linkStyle":"text-white","linkCTA":{"id":"link-cta","heapButtonClasses":["pushdown_banner"],"showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"/ko/world-tour/seoul/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"행사 참여 신청하기"},":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"]},"experiencefragment-header":{"id":"experiencefragment-b98031fe3c","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ko/site/mega-nav-header/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","classNames":"aem-xf",":items":{"root":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"mega_header":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-14329d2680",":type":"snowflake-site/components/container",":items":{"markup_editor":{"id":"markup-editor-ff4f3e985c","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:'Snowflake로 실현하는 가치 \u003E';display:block;color:var(--ui-01);margin-top:16px}.nav-item__platform-parent .snowflake-mega-nav-nav-item-description::after{content:'플랫폼 살펴보기 \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-ead2b4ec3f",":type":"snowflake-site/components/mega-header","appliedCssClassNames":"snowflake-header-container white",":items":{"nav_mega":{"activeItem":"item_1719963657751_c_663444255","id":"tabs-255c0e4b5c",":type":"snowflake-site/components/nav/nav-mega",":items":{"item_1719963657751_c_663444255":{"id":"nav-dropdown-menu-78ece9a4c2","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-8212c2119a",":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-b54e8a01a4",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_copy_2_793631646":{"id":"nav-item-dc4971c657","additionalClasses":"nav-item__platform-parent","linkDescription":"완전 관리형 플랫폼에서 AI 제품, 애플리케이션 등을 개발하고 모든 데이터 유형과 규모 전반에서 글로벌 비즈니스를 안전하게 연결하세요.","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/platform/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake Platform"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-291312d9a1","additionalClasses":"nav-item nav-item--si","linkDescription":"세상의 모든 지식. 신뢰할 수 있는 단 하나의 엔터프라이즈 에이전트","flag":"정식 출시","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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-072681a7f5","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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-6128eea8b0","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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-ae48595237","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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-f1043c1430","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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_526060162":{"id":"nav-item-ce1b7a8dfb","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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_copy","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_526060162"]},"nav_column_copy_copy":{"additionalClasses":"meganav-platform-features","navColumnTitle":"기능","numberOfSubColumns":"two-columns","layout":"SIMPLE","id":"container-4ff6c5dd44",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_212715":{"id":"nav-item-d234e90665","linkDescription":"Snowflake 기반 AI 코딩 에이전트","flag":"New","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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-ce6a4d4f10","propertiesId":"testID","linkDescription":"Snowflake에서 실행되는 완전 호환 오픈소스 Postgres","flag":"정식 출시","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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_1923334373":{"id":"nav-item-0ca9f08ddd","propertiesId":"testID","linkDescription":"업계 최고 LLM에 대한 즉각적인 액세스","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/features/cortex/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Cortex AI"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_258535199":{"id":"nav-item-6b346ea50e","propertiesId":"workload-nav-1","linkDescription":"통합을 위한 간편한 데이터 이동","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/features/openflow/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Openflow"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590635":{"id":"nav-item-86553e0155","linkDescription":"서드 파티 데이터 및 AI 제품 테스트 및 구매","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/features/marketplace/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Marketplace"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590_2121336733":{"id":"nav-item-c8ba9c64e5","linkDescription":"데이터 및 AI 팀을 위한 인터랙티브 개발 환경","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/features/notebooks/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Notebooks"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590_1715469328":{"id":"nav-item-a5a6dd1f5b","linkDescription":"Python 등을 실행하는 라이브러리 및 코드 실행 환경","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/features/snowpark/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowpark"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_185565":{"id":"nav-item-4d20e91cf9","linkDescription":"완벽한 데이터 보호 기능을 갖춘 데이터 협업","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/features/data-clean-rooms/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Data Clean Rooms"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590_1073841656":{"id":"nav-item-1d4160f829","linkDescription":"Python 스크립트를 웹 앱으로 변환하는 프레임워크 ","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/features/streamlit-in-snowflake/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Streamlit"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_258535199_c":{"id":"nav-item-3f7b6b2985","propertiesId":"workload-nav-1","linkDescription":"Snowflake Native App의 엔드투엔드 개발 및 배포","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/features/native-apps/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Native Apps"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_212715","nav_item","nav_item_copy_1923334373","nav_item_258535199","nav_item_copy_660590635","nav_item_copy_660590_2121336733","nav_item_copy_660590_1715469328","nav_item_copy_185565","nav_item_copy_660590_1073841656","nav_item_258535199_c"]},"nav_column_676020780":{"navColumnTitle":"오픈소스 기술","numberOfSubColumns":"one-column","maxWidth":"300","layout":"SIMPLE","id":"container-8c88cad256",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_511717659":{"id":"nav-item-24943b2ced","linkDescription":"범용 AI 카탈로그","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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_924064894":{"id":"nav-item-e952821442","linkDescription":"중앙 집중식 UI를 통한 간소화된 모델 개발 및 MLOps","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/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_660590":{"id":"nav-item-e5071441e1","linkDescription":"Snowflake의 트랜잭션 및 분석 워크로드 통합으로 운영 간소화","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/product/features/end-to-end-ml-workflows/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Unistore"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_511717659","nav_item_copy_660590_924064894","nav_item_copy_660590"]}},":itemsOrder":["nav_column","nav_column_copy_copy","nav_column_676020780"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"제품"},"nav_dropdown_menu_2":{"id":"nav-dropdown-menu-0a128ed3d1","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-dae057e6c1",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column":{"navColumnTitle":"산업용","numberOfSubColumns":"one-column","minWidth":"280","layout":"SIMPLE","id":"container-1987103d48",":type":"snowflake-site/components/nav/nav-column","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"nav_item":{"id":"nav-item-a8dff86a40","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/ko/solutions/industries/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"산업별 솔루션"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1016012800":{"id":"nav-item-afb63a1d57","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/industries/advertising-media-entertainment/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"광고, 미디어 및 엔터테인먼트"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy":{"id":"nav-item-699a8d30d3","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/industries/financial-services/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"금융 서비스"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_197051":{"id":"nav-item-e3740ee3ac","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/industries/healthcare-and-life-sciences/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"헬스케어 및 라이프사이언스"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_153342":{"id":"nav-item-58a6a22faf","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/industries/manufacturing/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"제조"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144445":{"id":"nav-item-e7f6bdbcf4","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/industries/public-sector/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"공공 부문"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_114948":{"id":"nav-item-6087f588a2","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/industries/retail-consumer-goods/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"리테일/소비재"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_574170":{"id":"nav-item-c87e5eb78f","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/industries/technology/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"테크놀로지"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_361384_1935318080":{"id":"nav-item-c0ac2fd451","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/industries/telecom/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"통신"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_361384_1107159381":{"id":"nav-item-e0b68189d6","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":"여행 및 숙박 "},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_copy_1016012800","nav_item_copy_copy","nav_item_copy_197051","nav_item_copy_153342","nav_item_copy_144445","nav_item_copy_114948","nav_item_copy_574170","nav_item_copy_361384_1935318080","nav_item_copy_361384_1107159381"]},"nav_column_copy":{"navColumnTitle":"부서용","numberOfSubColumns":"one-column","minWidth":"160","layout":"SIMPLE","id":"container-c8a0e7d23a",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-befdfbcfa7","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/departments/finance/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"금융"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-f651dde3e2","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/departments/information-technology/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"IT"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1970515619":{"id":"nav-item-4d3c3c136d","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/solutions/departments/marketing/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"마케팅"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_copy","nav_item_copy_1970515619"]},"nav_column_833417450":{"navColumnTitle":"역량 강화 솔루션","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-7b9e0cbbd1",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_107772":{"id":"nav-item-7883ae9fa0","linkDescription":"통합된 플랫폼으로의 안전한 마이그레이션 지원","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/migrate-to-the-cloud/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"AI 데이터 클라우드 마이그레이션 "},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1752092983163/nav-icon-cloud.svg","alt":"Cloud icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy":{"id":"nav-item-c628fa06e0","linkDescription":"Snowflake 전문가 지원을 통한 비즈니스 가속화 및 목표 달성","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/ko/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/1778205082215/nav-icon--migrate.svg","alt":"Migrate icon","lazyEnabled":true,"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":"파트너 솔루션","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-e88ccfc517",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-2d20c48d73","linkDescription":"제품, 솔루션 및 클라우드 파트너와 함께하는 프로그램","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 파트너 네트워크 "},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205103076/nav-icon--partner-network.svg","alt":"Partner Network icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-a8c961831e","linkDescription":"확장 배포를 위한 파트너, 앱 및 솔루션 검색기","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":"파트너 찾기"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205113516/nav-icon--partner-finder.svg","alt":"Partner Finder icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1970515619":{"id":"nav-item-3e70138ac7","linkDescription":"라이브 및 가상 이벤트","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":"이벤트 파트너십 기회"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205123183/nav-icon--events.svg","alt":"Calendar icon","lazyEnabled":true,"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":"솔루션"},"item_1719963657751_c":{"id":"nav-dropdown-menu-224207e112","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-c0828cd961",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column":{"numberOfSubColumns":"one-column","minWidth":"230","maxWidth":"350","layout":"SIMPLE","id":"container-383297b67b",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_copy_2_793631646":{"id":"nav-item-91a0aedf86","additionalClasses":"nav-item__platform-parent-why-sf","linkDescription":"로컬 및 글로벌 차원에서 협업하여 새로운 인사이트를 발견하고, 이전에는 전혀 예상치 못했던 비즈니스 기회를 창출하며, 고객을 식별하고 원활한 경험을 제공합니다.","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/why-snowflake/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflake를 사용해야 하는 이유"},":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","layout":"SIMPLE","id":"container-21783f65ea",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-d72ef75415","propertiesId":"testID","linkDescription":"Snowflake를 활용하는 글로벌 조직들에 대한 사례 연구와 비디오","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/customers/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"고객"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1740636508863/nav-icon--partner-network.svg","alt":"Customer icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_258535199":{"id":"nav-item-c76f6429c9","propertiesId":"workload-nav-1","linkDescription":"AI 데이터 클라우드에서 데이터와 앱을 연결, 공유 및 통합하는 방법을 알아보세요.","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/why-snowflake/what-is-data-cloud/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"AI 데이터 클라우드 살펴보기"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1740636598409/nav-icon-cloud.svg","alt":"Cloud icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_185565":{"id":"nav-item-55eabded57","linkDescription":"내장된 기능, 강력한 클라우드 인프라 보호 등을 통한 포괄적인 보안 제공","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/why-snowflake/snowflake-security-hub/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"보안 허브"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1740636570963/user-security-admins-ciso-icon.svg","alt":"User with security lock icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-d26360de81","additionalClasses":"is-light-gray-icon","linkDescription":"총소유비용(TCO)을 최소화하고 요금 대비 성능을 지속적으로 최적화하여 경제적 가치를 극대화하세요.","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":"비용 및 성능 최적화"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1740636477103/nav-icon-cost-optimization-performance.svg","alt":"Cost Optimization icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_185565_1325641543":{"id":"nav-item-867308fa77","linkDescription":"AI 데이터 클라우드 기반 애플리케이션을 개발하는 스타트업 지원","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/why-snowflake/partners/powered-by-snowflake/powered-by-snowflake-startup-program/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"스타트업을 위한 Snowflake"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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_1325641543/icon.coreimg.svg/1778284274253/launch.svg","alt":"/content/snowflake-site/global/ko/why-snowflake/partners/powered-by-snowflake/powered-by-snowflake-startup-program","lazyEnabled":true,"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_1325641543"]}},":itemsOrder":["nav_column","nav_column_copy_copy"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"Snowflake를 사용해야 하는 이유"},"item_1719961362824":{"id":"nav-dropdown-menu-4d4ceeff29","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-74f126f2d1",":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-c4d7c6b279",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-4b16b14a91","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/blog/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"블로그"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_180298689":{"id":"nav-item-36541020b4","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/events/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"이벤트"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_1639361946":{"id":"nav-item-6f0a96c059","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/support/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"지원"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_680912746":{"id":"nav-item-4a6979d6a6","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/contact/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"문의"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_180298689","nav_item_1639361946","nav_item_680912746"]},"nav_column_44600420__826130542":{"navColumnTitle":"학습","numberOfSubColumns":"two-columns","layout":"SIMPLE","id":"container-86282a9c63",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy":{"id":"nav-item-36a501d3ef","linkDescription":"eBook, 팟캐스트, 비디오, 백서 등","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/resources/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"리소스 라이브러리"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1740636655434/nav-icon--notebooks.svg","alt":"Notebooks icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item":{"id":"nav-item-e7ddb558b1","linkDescription":"Snowflake의 교육 프로그램 개요","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/resources/learn/training/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"교육"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205646803/nav-icon--training.svg","alt":"Training icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144634_1984107859":{"id":"nav-item-ad3e86dcc4","linkDescription":"다양한 산업 및 사용 사례에 대해 전문가가 주도하는 토론 및 데모","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/content/snowflake-site/global/ko/webinars"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"웨비나"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1773154016344/nav-icon--webinars.svg","alt":"Webinars icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1438098918":{"id":"nav-item-657e65103a","linkDescription":"Snowflake의 기술 산업 전문 자격증","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/resources/learn/certifications/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"자격 인증"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1740636703088/nav-icon--cert.svg","alt":"Certification icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_143809":{"id":"nav-item-59bb69fbec","linkDescription":"주요 기능에 대한 주간 제품 데모 및 실시간 Q&A 제공","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/content/snowflake-site/global/en/webinars/demo"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"라이브 데모"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205597408/nav-icon--live-demo.svg","alt":"Live Demo icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_333890638":{"id":"nav-item-4c1fe71469","linkDescription":"모든 레벨을 위한 교육 과정, 온디맨드 또는 실시간 강의 제공","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/ko/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/1778205657253/nav-icon--education.svg","alt":"Education icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_189945_1419909438":{"id":"nav-item-65444c0ef9","linkDescription":"Snowflake의 핵심 기능을 익힐 수 있는 강사 주도의 가상 워크샵","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/content/snowflake-site/global/en/webinars/virtual-hands-on-lab"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"핸즈온 랩"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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_1419909438/icon.coreimg.svg/1778205618866/nav-icon--labs.svg","alt":"Hands-on Labs icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_189945_71807784":{"id":"nav-item-7818dcab02","linkDescription":"Snowflake 연구진이 작성한 연구 논문","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/resources/publications/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Snowflake Research Publications"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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_71807784/icon.coreimg.svg/1778205823757/data-sheet.svg","alt":"Data Sheet","lazyEnabled":true,"width":"65",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_189945_1090045707":{"id":"nav-item-ea14d9cbe7","linkDescription":"AI 및 데이터 주제 관련 인사이트 콘텐츠","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/ko/fundamentals/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Fundamentals"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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_1090045707/icon.coreimg.svg/1778214635577/nav-icon--labs.svg","alt":"Hands-on Labs icon","lazyEnabled":true,"width":"64",":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_1419909438","nav_item_copy_189945_71807784","nav_item_copy_189945_1090045707"]}},":itemsOrder":["nav_column_copy","nav_column_44600420__826130542"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"리소스"},"item_1719963657751":{"id":"nav-dropdown-menu-b6803d94de","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-3433ac68d0",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column_copy_copy":{"navColumnTitle":"Build","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-8ffcb8698c",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-fb7553abc9","propertiesId":"testID","linkDescription":"빌드 및 확장이 필요한 개발자 리소스 개요","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"개발자를 위한 Snowflake"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205851807/nav-icon--devs.svg","alt":"Developers icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1855651246":{"id":"nav-item-f3233d555e","linkDescription":"참조 아키텍처, 사용 사례 및 모범 사례","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/developers/guides/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"개발자 가이드"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778214724119/nav-icon--solution-center.svg","alt":"Solution Center icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-56247e848c","additionalClasses":"is-light-gray-icon","linkDescription":"최신 소프트웨어 버전, 드라이버, 라이브러리 및 관련 문서","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/downloads/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"다운로드 "},"icon":{"id":"icon","height":"28","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205861103/nav-icon-download.svg","alt":"Download icon","lazyEnabled":true,"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":"학습","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-8a5dbbf94a",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-e7e1ac947e","propertiesId":"testID","linkDescription":"참조 문서, 가이드, 자습서 및 발표 내용","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://docs.snowflake.com/ko"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"설명서"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1740636759283/nav-icon--docs.svg","alt":"Docs icon","lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-bef19ff68f","additionalClasses":"is-light-gray-icon","linkDescription":"Snowflake 엔지니어들이 유지 및 지원 중인 핵심  프로젝트 ","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/open-source/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"오픈소스"},"icon":{"id":"icon","height":"32","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205872502/nav-icon-open-source.svg","alt":"Open Source icon","lazyEnabled":true,"width":"32",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy":{"id":"nav-item-a594b5d621","additionalClasses":"is-light-gray-icon","linkDescription":"Snowflake 실무 능력 향상을 위한 온라인 및 대면 강좌, 워크숍 등의 업스킬 프로그램","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/northstar/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Builder 교육 "},"icon":{"id":"icon","height":"32","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205893789/nav-icon--northstar.svg","alt":"Northstar logo","lazyEnabled":true,"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-a30d5fc228",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-d035fe2fbc","propertiesId":"testID","linkDescription":"Snowflake 기능 구축 방법 및 이유 등에 대한 기술 리더들의 설명","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://www.snowflake.com/engineering-blog/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"엔지니어링 블로그"},"icon":{"id":"icon","height":"32","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778284968921/nav-icon--developer-center.svg","alt":"Developers icon","lazyEnabled":true,"width":"32",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1855651246":{"id":"nav-item-e161cf959f","linkDescription":"Snowflake 개발자들과 토론하고 비법 및 요령을 공유하는 공간","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":"커뮤니티"},"icon":{"id":"icon","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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/1778205910554/nav-icon--partner-network.svg","alt":"Partner Network icon","lazyEnabled":true,"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"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"개발자"},"item_1718247180324":{"id":"nav-dropdown-menu-778c50944c","enableDropdown":false,"link_url":"/ko/pricing-options/",":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"요금"}},":itemsOrder":["item_1719963657751_c_663444255","nav_dropdown_menu_2","item_1719963657751_c","item_1719961362824","item_1719963657751","item_1718247180324"]},"languagenavigation":{"id":"language-navigation-981648713d","languageNavItems":[{"title":"English","path":"/en/developers/guides/data-apps-summit-lab-kr/","locale":"en","active":false},{"title":"日本語","path":"/ja/","locale":"ja","active":false},{"title":"한국어","path":"/ko/developers/guides/data-apps-summit-lab-kr/","locale":"ko","active":true},{"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":{"id":"button-64869e9f54","heapButtonClasses":["contact_nav","heap-nav-contact"],"showOutboundIcon":true,"buttonLink":{"valid":true,"url":"/ko/contact/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-secondary snowflake-button-blue snowflake-button-compact","linkType":"SNOWFLAKE_INTERNAL","text":"영업 담당자에게 문의하기"},"button_288358396":{"id":"button-eda1c904a1","heapButtonClasses":["start_for_free_nav","heap-nav-start-for-free"],"showOutboundIcon":true,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"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":"무료로 시작하기"}},":itemsOrder":["nav_mega","languagenavigation","button","button_288358396"]}},":itemsOrder":["markup_editor","mega_header"]}},":itemsOrder":["root"]},"markup_editor_1950346551":{"id":"markup-editor-cca1415654","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":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","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"},"columnCount":12,":items":{"quickstart_hero":{"id":"quickstart-hero-dbdf1ed4f1","quickstartHeroFirstCertifiedTag":{"tagText":"Quickstart","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/solution-center/certification/quickstart","tagIcon":""},"fragmentPath":"/content/dam/snowflake-site/ko/content-fragments/quickstarts/data-apps-summit-lab-kr",":type":"snowflake-site/components/quickstart/quickstart-hero","isDeveloperGuidesPage":false,"quickstartHeroTitle":{"lines":["Snowflake 마켓플레이스, Snowpark, Streamlit으로 데이터 애플리케이션 구축"],"type":"heading2",":type":"snowflake-site/components/title-v2"},"quickstartHeroAuthor":"","quickstartHeroFirstSnowflakeFeatureTag":{"tagText":"Build","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/snowflake-feature/build","tagIcon":""},"quickstartHeroForkRepoLink":{"id":"button-8edfbbbd14","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://github.com/Snowflake-Labs/sfquickstarts/tree/master/site/sfguides/src/data-apps-summit-lab-kr"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Fork Repo"},"quickstartHeroBreadcrumbs":[{"title":"Snowflake 마켓플레이스, Snowpark, Streamlit으로 데이터 애플리케이션 구축","url":"https://www.snowflake.com/content/snowflake-site/global/ko/developers/guides/data-apps-summit-lab-kr","currentPage":true},{"title":"개발자 솔루션 센터","url":"https://www.snowflake.com/content/snowflake-site/global/ko/developers/guides","currentPage":false},{"title":"Snowflake for Developers","url":"https://www.snowflake.com/content/snowflake-site/global/ko/developers","currentPage":false}]},"flexible_column_cont":{"id":"flexible-column-container-f2f0a8582d","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-cff10c642c",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"contentfragment":{"id":"contentfragment-9376e102be","paragraphs":["\u003Ch2\u003E개요\u003C/h2\u003E\n","\u003Cp\u003E이 실습 랩에서는 Snowflake 마켓플레이스에 Knoema가 게시한 Economical Data Atlas를 활용하여 데이터 애플리케이션을 구축합니다.\u003C/p\u003E\n","\u003Cp\u003ESnowpark로 데이터를 처리하고, 단순한 ML 모델을 개발하고, Snowflake에서 Python 사용자 정의 함수(UDF)를 생성한 다음 Streamlit으로 데이터를 시각화합니다.\u003C/p\u003E\n","\u003Ch3\u003E핵심 기능 및 기술\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowflake 마켓플레이스\u003C/li\u003E\u003Cli\u003ESnowpark for Python\u003C/li\u003E\u003Cli\u003EPython 라이브러리\u003C/li\u003E\u003Cli\u003EPython 사용자 정의 함수(UDF)\u003C/li\u003E\u003Cli\u003EStreamlit\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E사전 필요 조건 및 지식\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EACCOUNTADMIN 역할 액세스 또는 Snowflake 평가판 계정(\u003Ca href=\"https://signup.snowflake.com/?utm_cta=quickstarts_\"\u003Ehttps://signup.snowflake.com/\u003C/a\u003E)\u003C/li\u003E\u003Cli\u003ESQL, 데이터베이스 개념 및 객체에 대한 기본 지식\u003C/li\u003E\u003Cli\u003EPython 사용 경험  (랩을 위한 모든 코드는 제공됩니다.)\u003C/li\u003E\u003Cli\u003E컴퓨터에서 소프트웨어를 설치 및 실행할 능력\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://code.visualstudio.com/download\"\u003EVSCode\u003C/a\u003E 설치\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E학습할 내용\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowflake 마켓플레이스에 있는 데이터 세트 소비하기\u003C/li\u003E\u003Cli\u003EDataFrame을 사용하여 Python에서 데이터에 대한 쿼리 수행하기\u003C/li\u003E\u003Cli\u003E기존 Python 라이브러리 활용하기\u003C/li\u003E\u003Cli\u003ESnowflake에서 Snowpark Python 사용자 정의 함수 생성하기\u003C/li\u003E\u003Cli\u003E데이터 시각화를 위해 Streamlit으로 데이터 애플리케이션 생성하기\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E구축할 것\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowpark for Python으로 Snowflake와 연결하고 선형 회귀 모델 훈련을 위한 피처를 준비하는 Python 노트북\u003C/li\u003E\u003Cli\u003EPython 학습 모델을 기반으로 한 Snowflake 사용자 정의 함수(UDF)\u003C/li\u003E\u003Cli\u003EStreamlit 대시보드 데이터 애플리케이션\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E랩 환경 준비\u003C/h2\u003E\n\u003Col\u003E\u003Cli\u003Epip install conda를 실행하여 별도의 환경을 관리하기 위해 Conda를 설치합니다. 참고: 대신 \u003Ca href=\"https://docs.conda.io/en/latest/miniconda.html\"\u003EMiniconda\u003C/a\u003E를 사용할 수도 있습니다.\u003C/li\u003E\u003Cli\u003E터미널이나 명령 프롬프트를 엽니다.\u003C/li\u003E\u003C/ol\u003E\n\u003Cblockquote\u003E\n\u003C/blockquote\u003E\n\u003Col start=\"3\"\u003E\u003Cli\u003E\u003Ccode\u003Econda create --name snowpark -c https://repo.anaconda.com/pkgs/snowflake python=3.8\u003C/code\u003E을 실행하여 환경을 생성합니다.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Econda activate snowpark\u003C/code\u003E를 실행하여 Conda 환경을 활성화합니다.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Econda install -c https://repo.anaconda.com/pkgs/snowflake snowflake-snowpark-python pandas scikit-learn\u003C/code\u003E을 실행하여 Snowpark for Python, Pandas 및 scikit-learn을 설치합니다.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Epip install streamlit\u003C/code\u003E 또는 \u003Ccode\u003Econda install streamlit\u003C/code\u003E을 실행하여 Streamlit을 설치합니다.\u003C/li\u003E\u003Cli\u003E폴더(예: ‘Summit HOL PCE’)를 생성하고 해당 폴더에 랩 파일을 다운로드 및 저장합니다.\n\u003Cul\u003E\u003Cli\u003E필수 파일 링크: https://drive.google.com/drive/folders/1CN6Ljj59XWv2B3Epqxk4DtfDmCH1co_Q?usp=sharing\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n\u003Chr\u003E\n","\u003Ch3\u003E\u003Ccode\u003Epyarrow\u003C/code\u003E 관련 이슈 해결\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003Epyarrow\u003C/code\u003E 라이브러리가 이미 설치되어 있다면 Snowpark를 설치하기 전에 이를 제거합니다.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Epyarrow\u003C/code\u003E가 설치되어 있지 않은 경우 이를 스스로 설치할 필요가 없습니다. Snowpark를 설치하면 자동으로 적절한 버전이 설치됩니다.\u003C/li\u003E\u003Cli\u003ESnowpark를 설치한 후 다른 버전의 \u003Ccode\u003Epyarrow\u003C/code\u003E를 다시 설치하지 마십시오.\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ESnowflake 환경 준비\u003C/h2\u003E\n","\u003Ch3\u003ESnowflake 마켓플레이스로 작업\u003C/h3\u003E\n","\u003Cp\u003ESnowflake 마켓플레이스는 비즈니스 프로세스를 변환하는 데 사용되는 데이터 요소에 대한 액세스를 확장하는 서드 파티 데이터 스튜어드가 제공하는 다양한 데이터 세트에 대한 가시성을 제공합니다. 또한, Snowflake 마켓플레이스는 데이터 공급자가 전적으로 유지하는 데이터 세트에 대한 안전한 액세스를 제공하므로 데이터를 통합하거나 모델링할 필요가 없습니다.\u003C/p\u003E\n","\u003Cp\u003ESnowflake 마켓플레이스로 작업하는 것을 검토하기 전에 Snowflake 평가판 버전을 설치했는지 확인합니다. 설치하지 않았다면 Install Snowflake Trial을 클릭합니다. 사용 가능한 평가판 계정을 보유하고 있으며 Snowflake 콘솔에 로그인했다면 다음 단계를 따릅니다.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E왼쪽 상단 모서리에서 ACCOUNTADMIN으로 로그인되어 있는지 확인합니다. 만약 그렇지 않다면 역할을 전환합니다.\u003C/li\u003E\u003Cli\u003EMarketplace를 클릭합니다.\u003C/li\u003E\u003Cli\u003E검색 바에 Knoema Economy를 입력한 다음 Economy Data Atlas라는 타일 상자를 클릭합니다.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/cybersyn-essentials.png\" alt=\"alt_text\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E오른쪽 상단 모서리에서 Get Data를 선택합니다.\u003C/li\u003E\u003Cli\u003E생성되는 데이터베이스에 액세스할 적절한 역할을 선택하고 Snowflake 소비자 사용 약관과 Knoema 사용 약관을 수락합니다.\u003C/li\u003E\u003Cli\u003E데이터베이스 생성\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003E\u003C/h2\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/query-data.png\" alt=\"alt_text\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E이제 Query Data를 선택하면 쿼리 사례가 포함된 워크시트가 열립니다.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr//sample-query.png\" alt=\"alt_text\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E우리는 미국 인플레이션 데이터에 관심이 있으므로 \u003Ccode\u003EWhat is the US inflation over time?\u003C/code\u003E 쿼리를 사용하여 애플리케이션을 위한 데이터를 탐색하겠습니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT * FROM "ECONOMY"."BEANIPA" WHERE "Table Name" = 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product' AND "Indicator Name" = 'Personal consumption expenditures (PCE)' AND "Frequency" = 'A' ORDER BY "Date"\n\n\u003C/code\u003E\u003C/pre\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E새로운 데이터베이스 생성\u003C/h3\u003E\n","\u003Cp\u003E이제 Economy Data Atlas를 사용하여 데이터베이스를 생성했으니 사용자 정의 함수를 저장할 애플리케이션을 위한 데이터베이스를 생성해야 합니다.\u003C/p\u003E\n","\u003Cp\u003ESnowflake 홈 메뉴에서 ‘Worksheets’를 선택합니다. \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/worksheet.png\" alt=\"\"\u003E 버튼을 선택하여\u003C/p\u003E\n","\u003Cp\u003E새로운 워크시트를 생성합니다.\u003C/p\u003E\n","\u003Cp\u003E워크시트에서 다음 스크립트를 복사합니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E-- First create database using the Knoema Economical Data Atlas\n-- Go to Marketplace to get database\n\n-- Setup database, need to be logged in as accountadmin role */\n--Set role and warehouse (compute)\nUSE ROLE accountadmin;\nUSE WAREHOUSE compute_wh;\n\n--Create database and stage for the Snowpark Python UDF\nCREATE DATABASE IF NOT EXISTS summit_hol;\nCREATE STAGE IF NOT EXISTS udf_stage;\n\n--Test the data\n-- What's the size?\nSELECT COUNT(*) FROM ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA;\n\n-- What is the US inflation over time?\nSELECT * FROM ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA\n   WHERE "Table Name" = 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product'\n     AND "Indicator Name" = 'Personal consumption expenditures (PCE)'\n     AND "Frequency" = 'A'\nORDER BY "Date"\n;\n\n-- Now create UDF in VS Code / Notebook\n-- Once we created the UDF with the Python Notebook we can test the UDF\nSELECT predict_pce_udf(2021);\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E(Jupyter) 노트북으로 데이터 탐색\u003C/h2\u003E\n","\u003Cp\u003E이제 애플리케이션에 사용할 수 있는 데이터베이스를 보유하고 있으니 데이터를 탐색하고 애플리케이션이 사용할 수 있는 사용자 정의 함수(UDF)의 ML 모델을 생성하고자 합니다.\u003C/p\u003E\n","\u003Cp\u003EVS Code를 열고 앞서 생성한 Python 스크립트가 포함된 폴더를 엽니다.\u003C/p\u003E\n","\u003Cp\u003EPython 노트북(my_snowpark_pce.ipynb)과 Streamlit 애플리케이션 스크립트(my_snowpark_streamlit_app_pce.py)를 열 수 있습니다. 다양한 코드를 검토하겠습니다.\u003C/p\u003E\n","\u003Cp\u003EVS Code가 Python 환경을 요구할 수도 있습니다. \\\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/interpreter.png\" alt=\"alt_text\"\u003E\u003C/p\u003E\n","\u003Cp\u003E앞서 생성한 ‘snowpark’ Conda 환경을 선택해야 합니다.\u003C/p\u003E\n","\u003Cp\u003E오른쪽 하단 모서리에서 클릭하여 인터프리터를 선택할 수 있습니다. \\\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/conda.png\" alt=\"alt_text\"\u003E\u003C/p\u003E\n","\u003Ch3\u003E노트북 초기화, 라이브러리 가져오기, Snowflake 연결 생성\u003C/h3\u003E\n","\u003Cp\u003EPython 스크립트를 생성하고 필수 라이브러리를 포함시키기 위해 가져오기 문을 추가하며 시작하겠습니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Efrom snowflake.snowpark.session import Session\nfrom snowflake.snowpark.types import IntegerType, FloatType\nfrom snowflake.snowpark.functions import avg, sum, col, udf, call_udf, call_builtin, year\nimport streamlit as st\nimport pandas as pd\nfrom datetime import date\n\n# scikit-learn (install: pip install -U scikit-learn)\nfrom sklearn.linear_model import LinearRegression\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ESnowflake와 연결\u003C/h3\u003E\n","\u003Cp\u003E이 단계에서는 Snowflake와 연결하기 위한 \u003Ca href=\"https://docs.snowflake.com/ko/LIMITEDACCESS/snowpark-python.html#creating-a-session\" title=\"alt_text\"\u003ESession 객체\u003C/a\u003E를 생성하게 됩니다. 이를 빠르게 진행하는 방법은 다음과 같지만, 프로덕션 환경에서는 코드에 바로 하드 코딩 자격 증명을 사용하는 것이 권장되지 않습니다. 프로덕션 환경에 더 적합한 접근 방식은 예를 들어 \u003Ca href=\"https://github.com/iamontheinet/sf-code-snippets/blob/main/aws_secrets_manager_sf_connection.py\"\u003EAWS Secrets Manager\u003C/a\u003E 또는 \u003Ca href=\"https://github.com/iamontheinet/sf-code-snippets/blob/main/azure_key_vault_sf_connection.py\"\u003EAzure Key Vault\u003C/a\u003E에서 자격 증명을 로드하는 것입니다.\u003C/p\u003E\n","\u003Cp\u003ESnowflake 설정 섹션에서 생성한 데이터베이스를 사용하겠습니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E# Session\nconnection_parameters = {\n   "account": "<account_identifier>",\n   "user": "<username>",\n   "password": "<password>",\n   "warehouse": "compute_wh",\n   "role": "accountadmin",\n   "database": "summit_hol",\n   "schema": "public"\n}\nsession = Session.builder.configs(connection_parameters).create()\n# test if we have a connection\nsession.sql("select current_warehouse() wh, current_database() db, current_schema() schema, current_version() v").show()\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E위 코드 조각에서 "<>" 안에 있는 변수를 자신의 값으로 바꿉니다.\u003C/p\u003E\n","\u003Ch3\u003ESQL 문 및 Snowpark DataFrame을 사용하여 데이터 쿼리\u003C/h3\u003E\n","\u003Cp\u003E이 단계에서는 Session 객체에 있는 SQL 문을 실행하는 전통적인 메소드를 사용하여 데이터를 쿼리하겠습니다. 이는 Python 커넥터를 위해 Snowflake로 데이터를 쿼리하는 것과 비슷합니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E# SQL query to explore the data\nsession.sql("SELECT * FROM ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA WHERE \\"Table Name\\" = 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product' AND \\"Indicator Name\\" = 'Personal consumption expenditures (PCE)' AND \\"Frequency\\" = 'A' ORDER BY \\"Date\\"").show()\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E이제 Snowpark DataFrame으로 데이터를 쿼리하겠습니다. Snowpark는 느긋한 계산법을 사용하기에 쿼리 및 필터 조건이 생성되면 \u003Cem\u003Eshow()\u003C/em\u003E 메소드가 이를 쿼리가 실행될 Snowflake 서버로 푸시합니다. 그러면 Snowflake와 클라이언트 또는 애플리케이션 간에 교환되는 데이터의 양이 줄어듭니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E# Now use Snowpark dataframe\nsnow_df_pce = (session.table("ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA")\n                           .filter(col('Table Name') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                           .filter(col('Indicator Name') == 'Personal consumption expenditures (PCE)')\n                           .filter(col('"Frequency"') == 'A')\n                           .filter(col('"Date"') >= '1972-01-01'))\nsnow_df_pce.show()\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EML 훈련을 위한 피처 생성\u003C/h3\u003E\n","\u003Cp\u003E애플리케이션의 일환으로 개인소비지출 가격 지수에 대한 몇 가지 예측을 얻어 보겠습니다. 따라서 모델을 scikit-learn 선형 회귀 모델로 훈련하는 데 사용할 수 있는 Pandas DataFrame을 생성하겠습니다.  Python용 Snowpark API는 Snowpark DataFrame을 Pandas로 변환하기 위해 메소드를 노출시킵니다. 이번에도 Snowpark의 느긋한 계산법을 사용하면 DataFrame 쿼리를 만들 수 있고, \u003Cem\u003Eto_pandas()\u003C/em\u003E 함수는 해당 쿼리를 Snowflake로 푸시하고 결과를 Pandas DataFrame으로 반환합니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E# Let Snowflake perform filtering using the Snowpark pushdown and display results in a Pandas dataframe\nsnow_df_pce = (session.table("ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA")\n                       .filter(col('"Table Name"') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                       .filter(col('"Indicator Name"') == 'Personal consumption expenditures (PCE)')\n                       .filter(col('"Frequency"') == 'A')\n                       .filter(col('"Date"') >= '1972-01-01'))\npd_df_pce_year = snow_df_pce.select(year(col('"Date"')).alias('"Year"'), col('"Value"').alias('PCE') ).to_pandas()\npd_df_pce_year\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003E선형 회귀 모델 훈련\u003C/h3\u003E\n","\u003Cp\u003E이제 피처를 생성했으니 모델을 훈련할 수 있습니다. 이 단계에서는 NumPy 라이브러리를 사용하여 피처를 포함한 Pandas DataFrame을 배열로 변환하겠습니다. 훈련이 끝나면 예측을 표시할 수 있게 됩니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E# train model with PCE index\nx = pd_df_pce_year["Year"].to_numpy().reshape(-1,1)\ny = pd_df_pce_year["PCE"].to_numpy()\n\nmodel = LinearRegression().fit(x, y)\n\n# test model for 2021\npredictYear = 2021\npce_pred = model.predict([[predictYear]])\n# print the last 5 years\nprint (pd_df_pce_year.tail() )\n# run the prediction for 2021\nprint ('Prediction for '+str(predictYear)+': '+ str(round(pce_pred[0],2)))\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003E훈련된 모델로 Snowflake에서 사용자 정의 함수 생성\u003C/h3\u003E\n","\u003Cp\u003E이 단계에서는 함수 입력을 기반으로 PCE 지수를 예측하기 위해 훈련된 모델을 사용할 Python 함수를 생성하겠습니다. 그런 다음, Snowpark API를 사용하여 UDF를 생성하겠습니다. Snowpark 라이브러리는 내부 스테이지에 함수를 위한 코드(및 훈련된 모델)를 업로드합니다. UDF를 호출하면 Snowpark 라이브러리는 데이터가 있는 서버에서 함수를 실행합니다. 결과적으로, 함수가 데이터를 처리하기 위해 데이터를 클라이언트로 전송할 필요가 없습니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Edef predict_pce(predictYear: int) -> float:\n   return model.predict([[predictYear]])[0].round(2).astype(float)\n\n_ = session.udf.register(predict_pce,\n                       return_type=FloatType(),\n                       input_type=IntegerType(),\n                       packages= ["pandas","scikit-learn"],\n                       is_permanent=True,\n                       name="predict_pce_udf",\n                       replace=True,\n                       stage_location="@udf_stage")\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E이제 Python에서 SQL 명령을 사용하여 UDF를 테스트할 수 있습니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Esession.sql("select predict_pce_udf(2021)").show()\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EStreamlit 애플리케이션 생성\u003C/h2\u003E\n","\u003Ch3\u003E필수 라이브러리 가져오기\u003C/h3\u003E\n","\u003Cp\u003E이제 훈련된 ML 모델을 보유하고 있고 예측을 수행하기 위한 UDF를 생성했으니 Streamlit 애플리케이션을 생성할 수 있습니다.\u003C/p\u003E\n","\u003Cp\u003E노트북과 비슷하게 Python 스크립트를 생성하고 필수 라이브러리를 포함시키기 위해 가져오기 문을 추가합니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E# Import required libraries\n# Snowpark\nfrom snowflake.snowpark.session import Session\nfrom snowflake.snowpark.types import IntegerType\nfrom snowflake.snowpark.functions import avg, sum, col, call_udf, lit, call_builtin, year\n# Pandas\nimport pandas as pd\n#Streamlit\nimport streamlit as st\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003E애플리케이션 페이지 콘텍스트 설정\u003C/h3\u003E\n","\u003Cp\u003E애플리케이션 페이지의 콘텍스트를 설정해야 합니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E#Set page context\nst.set_page_config(\n    page_title="Economical Data Atlas",\n    page_icon="🧊",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://developers.snowflake.com',\n        'About': "This is an *extremely* cool app powered by Snowpark for Python, Streamlit, and Snowflake Marketplace"\n    }\n)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ESnowflake와 연결\u003C/h3\u003E\n","\u003Cp\u003E이 단계에서는 Snowflake와 연결하기 위한 \u003Ca href=\"https://docs.snowflake.com/ko/LIMITEDACCESS/snowpark-python.html#creating-a-session\"\u003ESession 객체\u003C/a\u003E를 생성하게 됩니다. 이를 빠르게 진행하는 방법은 다음과 같지만, 프로덕션 환경에서는 코드에 바로 하드 코딩 자격 증명을 사용하는 것이 권장되지 않습니다. 프로덕션 환경에 더 적합한 접근 방식은 예를 들어 \u003Ca href=\"https://github.com/iamontheinet/sf-code-snippets/blob/main/aws_secrets_manager_sf_connection.py\"\u003EAWS Secrets Manager\u003C/a\u003E 또는 \u003Ca href=\"https://github.com/iamontheinet/sf-code-snippets/blob/main/azure_key_vault_sf_connection.py\"\u003EAzure Key Vault\u003C/a\u003E에서 자격 증명을 로드하는 것입니다.\u003C/p\u003E\n","\u003Cp\u003ESnowflake 설정 섹션에서 생성한 데이터베이스를 사용하겠습니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E# Create Session object\ndef create_session_object():\n   connection_parameters = {\n   "account": "<account_identifier>",\n   "user": "<username>",\n   "password": "<password>",\n   "warehouse": "compute_wh",\n   "role": "accountadmin",\n   "database": "SUMMIT_HOL",\n   "schema": "PUBLIC"\n  }\n   session = Session.builder.configs(connection_parameters).create()\n   print(session.sql('select current_warehouse(), current_database(), current_schema()').collect())\n   return session\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E위 코드 조각에서 "<>" 안에 있는 변수를 자신의 값으로 바꿉니다.\u003C/p\u003E\n","\u003Ch3\u003ESnowpark DataFrame에 데이터 로드\u003C/h3\u003E\n","\u003Cp\u003E이 단계에서는 연간 미국 인플레이션(개인소비지출, PCE) 데이터로 DataFrame을 생성하겠습니다. BEANIPA 테이블(BEA NIPA: 미국 상무부 경제 분석국 국민소득생산계정 데이터)을 사용하겠습니다. 이 테이블에는 약 160만 개의 행이 포함되어 있습니다. 이 데이터는 Snowpark의 느긋한 계산법을 사용하여 Snowflake에서 처리됩니다.\u003C/p\u003E\n","\u003Cp\u003E노트북 섹션에서 생성한 훈련된 ML 모델을 포함한 UDF를 기반으로 실제 및 예상 PCE 값으로 DataFrame을 생성하겠습니다.\u003C/p\u003E\n","\u003Cp\u003E그리고 데이터를 단일 그래프로 표시할 수 있도록 실제 및 예상 DataFrame을 새로운 하나의 DataFrame으로 결합하겠습니다.\u003C/p\u003E\n","\u003Cp\u003EStreamlit으로 작업할 때는 Pandas DataFrame이 필요하며 Python용 Snowpark API는 Snowpark DataFrame을 Pandas로 변환하기 위해 메소드를 노출시킵니다.\u003C/p\u003E\n","\u003Cp\u003E그리고 몇 가지 주요 지표를 표시하고자 하기에 DataFrame에서 지표를 추출하겠습니다.\u003C/p\u003E\n","\u003Cp\u003E이에 더해 선택한 연도의 분기별 PCE 데이터와 주요 제품 유형별 분석 결과를 표시하고자 합니다. 이 데이터를 위해 2개의 DataFrame을 생성하겠습니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E  #US Inflation, Personal consumption expenditures (PCE) per year\n   #Prepare data frame, set query parameters\n   snow_df_pce = (session.table("ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA")\n                           .filter(col('Table Name') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                           .filter(col('Indicator Name') == 'Personal consumption expenditures (PCE)')\n                           .filter(col('"Frequency"') == 'A')\n                           .filter(col('"Date"') >= '1972-01-01'))\n   #Select columns, substract 100 from value column to reference baseline\n   snow_df_pce_year = snow_df_pce.select(year(col('"Date"')).alias('"Year"'), (col('"Value"')-100).alias('PCE')).sort('"Year"', ascending=False)\n   #convert to pandas dataframe\n   pd_df_pce_year = snow_df_pce_year.to_pandas()\n   #round the PCE series\n   pd_df_pce_year["PCE"] = pd_df_pce_year["PCE"].round(2)\n    #create metrics\n   latest_pce_year = pd_df_pce_year.loc[0]["Year"].astype('int')\n   latest_pce_value = pd_df_pce_year.loc[0]["PCE"]\n   delta_pce_value = latest_pce_value - pd_df_pce_year.loc[1]["PCE"]\n\n   #Use Snowflake UDF for Model Inference\n   snow_df_predict_years = session.create_dataframe([[int(latest_pce_year+1)], [int(latest_pce_year+2)],[int(latest_pce_year+3)]], schema=["Year"])\n   pd_df_pce_predictions = snow_df_predict_years.select(col("year"), call_udf("predict_pce_udf", col("year")).as_("pce")).sort(col("year")).to_pandas()\n   pd_df_pce_predictions.rename(columns={"YEAR": "Year"}, inplace=True)\n   #round the PCE prediction series\n   pd_df_pce_predictions["PCE"] = pd_df_pce_predictions["PCE"].round(2).astype(float)-100\n\n\n   #Combine actual and predictions dataframes\n   pd_df_pce_all = (\n       pd_df_pce_year.set_index('Year').sort_index().rename(columns={"PCE": "Actual"})\n       .append(pd_df_pce_predictions.set_index('Year').sort_index().rename(columns={"PCE": "Prediction"}))\n   )\n\n\n   #Data per quarter\n   snow_df_pce_q = (session.table("ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA")\n                           .filter(col('Table Name') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                           .filter(col('Indicator Name') == 'Personal consumption expenditures (PCE)')\n                           .filter(col('"Frequency"') == 'Q')\n                           .select(year(col('"Date"')).alias('Year'),\n                                   call_builtin("date_part", 'quarter', col('"Date"')).alias('"Quarter"') ,\n                                   (col('"Value"')-100).alias('PCE'))\n                           .sort('Year', ascending=False))\n\n\n   # by Major Type Of Product\n   snow_df_pce_all = (session.table("ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA")\n                       .filter(col('"Table Name"') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                       .filter(col('"Indicator Name"') != 'Personal consumption expenditures (PCE)')\n                       .filter(col('"Frequency"') == 'A')\n                       .filter(col('"Date"') >= '1972-01-01')\n                       .select('"Indicator Name"', year(col('"Date"')).alias('Year'), (col('"Value"')-100).alias('PCE') ))\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003E웹 페이지 구성 요소 추가\u003C/h3\u003E\n","\u003Cp\u003E이 단계에서는 다음을 추가하겠습니다.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E헤더 및 하위 헤더(Streamlit의 \u003Cem\u003Ecolumns()\u003C/em\u003E 및 _container()_를 사용하여 애플리케이션 콘텐츠를 정리하기 위해 컨테이너와 열을 사용하기도 함)\u003C/li\u003E\u003Cli\u003EStreamlit의 지표 함수를 사용하는 델타를 포함한 지표 디스플레이\u003C/li\u003E\u003Cli\u003EStreamlit의 selectbox_()_ 및 _bar_chart()_를 사용하는 인터랙티브 막대형 그래프\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E   # Add header and a subheader\n   st.title("Knoema: Economical Data Atlas")\n   st.header("Powered by Snowpark for Python and Snowflake Marketplace | Made with Streamlit")\n   st.subheader("Personal consumption expenditures (PCE) over the last 25 years, baseline is 2012")\n   # Add an explanation on the PCE Price Index that can be expanded\n   with st.expander("What is the Personal Consumption Expenditures Price Index?"):\n       st.write("""\n        The prices you pay for goods and services change all the time – moving at different rates and even in different directions. Some prices may drop while others are going up. A price index is a way of looking beyond individual price tags to measure overall inflation (or deflation) for a group of goods and services over time.\n\n\n        The Personal Consumption Expenditures Price Index is a measure of the prices that people living in the United States, or those buying on their behalf, pay for goods and services.The PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and reflecting changes in consumer behavior.\n       """)\n   # Use columns to display metrics for global value and predictions\n   col11, col12, col13 = st.columns(3)\n   with st.container():\n       with col11:\n           st.metric("PCE in " + str(latest_pce_year), round(latest_pce_value), round(delta_pce_value), delta_color=("inverse"))\n       with col12:\n           st.metric("Predicted PCE for " + str(int(pd_df_pce_predictions.loc[0]["Year"])), round(pd_df_pce_predictions.loc[0]["PCE"]),\n               round((pd_df_pce_predictions.loc[0]["PCE"] - latest_pce_value)), delta_color=("inverse"))\n       with col13:\n           st.metric("Predicted PCE for " + str(int(pd_df_pce_predictions.loc[1]["Year"])), round(pd_df_pce_predictions.loc[1]["PCE"]),\n               round((pd_df_pce_predictions.loc[1]["PCE"] - latest_pce_value)), delta_color=("inverse"))\n\n   # Barchart with actual and predicted PCE\n   st.bar_chart(data=pd_df_pce_all.tail(25), width=0, height=0, use_container_width=True)\n\n   # Display interactive chart to visualize PCE per quarter and per major type of product.\n   with st.container():\n\n\n       year_selection = st.selectbox('Select year', pd_df_pce_year['Year'].head(25),index=0 )\n       pd_df_pce_q = snow_df_pce_q.filter(col('Year') == year_selection).sort(col('"Quarter"')).to_pandas().set_index('Quarter')\n       with st.expander("Price Indexes For Personal Consumption Expenditures per Quarter"):\n            st.bar_chart(data=pd_df_pce_q['PCE'], width=0, height=500, use_container_width=True)\n       pd_df_pce_all = snow_df_pce_all.filter(col('Year') == year_selection).sort(col('"Indicator Name"')).to_pandas().set_index('Indicator Name')\n       st.write("Price Indexes For Personal Consumption Expenditures By Major Type Of Product")\n       st.bar_chart(data=pd_df_pce_all['PCE'], width=0, height=500, use_container_width=True)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E위 코드 조각에서는 매개변수 중 하나로 DataFrame을 사용하는 Streamlit의 _bar_chart()_를 사용하여 막대형 그래프가 만들어 졌습니다. 이 경우, 이는 훈련된 ML 모델이 포함되어 있는 Snowflake 사용자 정의 함수를 활용하는 예상 PCE 값이 포함된 Snowpark DataFrame의 _filter() _combined를 통해 날짜별로 필터링된 개인소비지출(PCE) 가격 지수 DataFrame의 하위 집합(25년)입니다. 최신 PCE 값과 작년 델타를 포함한 향후 2개의 예측과 같은 주요 지표는 Streamlit _metric() _function을 사용하여 표시됩니다.\u003C/p\u003E\n","\u003Cp\u003E상세 정보는 연도 선택(Streamlit_ selectbox() _ function), 선택한 연도의 분기별 값을 포함한 그래프, 선택한 연도의 주요 제품 유형 PCE 값에 대한 상세한 그래프를 사용하여 표시할 수 있습니다. 연도를 선택할 때마다 쿼리가 Snowflake에서 실행되고 결과가 Snowpark 및 Streamlit으로 표시됩니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E웹 애플리케이션 실행\u003C/h2\u003E\n","\u003Cp\u003E재미 있는 부분입니다! Python 스크립트에 구문 및 연결 오류가 없다면 애플리케이션을 실행할 준비가 된 것입니다.\u003C/p\u003E\n","\u003Cp\u003E명령줄 또는 VS Code의 터미널 섹션에서 다음을 실행하여 애플리케이션을 실행할 수 있습니다.\u003Cbr\u003E\n<code>streamlit run my_snowpark_streamlit_app_pce.py</code></strong> (<em>my_snowpark_streamlit_app_pce.py</em>를 자신의 Python 스크립트로 바꿉니다.)\u003C/p\u003E\n","\u003Cp\u003E<code>conda activate snowpark</code> 터미널 명령을 사용하여 ‘snowpark’ Conda 환경이 활성화되어 있는지 확인합니다.</strong>\u003C/p\u003E\n","\u003Cp\u003E올바른 Conda 환경을 선택했음을 나타내는 터미널 프롬프트가 나타납니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E(base) user SummitHOL % conda activate snowpark\n(snowpark) user SummitHOL %\n           \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E애플리케이션에서:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E‘+’로 표시된 확장 섹션을 클릭할 수 있습니다.\u003C/li\u003E\u003Cli\u003E상세 정보를 표시하기 위해 연도를 선택할 수 있습니다.\u003C/li\u003E\u003Cli\u003E분기별 PCE 값은 기본값으로 축소되어 있습니다. ‘+’를 클릭해 확장할 수 있습니다.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/streamlit-output.png\" alt=\"alt_text\"\u003E\u003C/p\u003E"],"description":"","title":"Snowflake 마켓플레이스, Snowpark, Streamlit으로 데이터 애플리케이션 구축",":type":"snowflake-site/components/contentfragment","elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"## 개요\n\n\n이 실습 랩에서는 Snowflake 마켓플레이스에 Knoema가 게시한 Economical Data Atlas를 활용하여 데이터 애플리케이션을 구축합니다.\n\nSnowpark로 데이터를 처리하고, 단순한 ML 모델을 개발하고, Snowflake에서 Python 사용자 정의 함수(UDF)를 생성한 다음 Streamlit으로 데이터를 시각화합니다.\n\n### 핵심 기능 및 기술\n\n* Snowflake 마켓플레이스\n* Snowpark for Python\n* Python 라이브러리\n* Python 사용자 정의 함수(UDF)\n* Streamlit\n\n### 사전 필요 조건 및 지식\n\n* ACCOUNTADMIN 역할 액세스 또는 Snowflake 평가판 계정([https://signup.snowflake.com/](https://signup.snowflake.com/?utm_cta=quickstarts_))\n* SQL, 데이터베이스 개념 및 객체에 대한 기본 지식\n* Python 사용 경험  (랩을 위한 모든 코드는 제공됩니다.)\n* 컴퓨터에서 소프트웨어를 설치 및 실행할 능력\n* [VSCode](https://code.visualstudio.com/download) 설치\n\n### 학습할 내용\n\n* Snowflake 마켓플레이스에 있는 데이터 세트 소비하기\n* DataFrame을 사용하여 Python에서 데이터에 대한 쿼리 수행하기\n* 기존 Python 라이브러리 활용하기\n* Snowflake에서 Snowpark Python 사용자 정의 함수 생성하기\n* 데이터 시각화를 위해 Streamlit으로 데이터 애플리케이션 생성하기\n\n### 구축할 것\n\n* Snowpark for Python으로 Snowflake와 연결하고 선형 회귀 모델 훈련을 위한 피처를 준비하는 Python 노트북\n* Python 학습 모델을 기반으로 한 Snowflake 사용자 정의 함수(UDF)\n* Streamlit 대시보드 데이터 애플리케이션\n\n\u003C!-- ------------------------ --\u003E\n## 랩 환경 준비\n\n\n1. pip install conda를 실행하여 별도의 환경을 관리하기 위해 Conda를 설치합니다. 참고: 대신 [Miniconda](https://docs.conda.io/en/latest/miniconda.html)를 사용할 수도 있습니다.\n2. 터미널이나 명령 프롬프트를 엽니다.\n\n\u003E \n\n3. `conda create --name snowpark -c https://repo.anaconda.com/pkgs/snowflake python=3.8`을 실행하여 환경을 생성합니다.\n4. `conda activate snowpark`를 실행하여 Conda 환경을 활성화합니다.\n5. `conda install -c https://repo.anaconda.com/pkgs/snowflake snowflake-snowpark-python pandas scikit-learn`을 실행하여 Snowpark for Python, Pandas 및 scikit-learn을 설치합니다.\n6. `pip install streamlit` 또는 `conda install streamlit`을 실행하여 Streamlit을 설치합니다.\n7. 폴더(예: ‘Summit HOL PCE’)를 생성하고 해당 폴더에 랩 파일을 다운로드 및 저장합니다.\n   * 필수 파일 링크: https://drive.google.com/drive/folders/1CN6Ljj59XWv2B3Epqxk4DtfDmCH1co_Q?usp=sharing\n\n---\n\n### `pyarrow` 관련 이슈 해결\n\n- `pyarrow` 라이브러리가 이미 설치되어 있다면 Snowpark를 설치하기 전에 이를 제거합니다.\n- `pyarrow`가 설치되어 있지 않은 경우 이를 스스로 설치할 필요가 없습니다. Snowpark를 설치하면 자동으로 적절한 버전이 설치됩니다.\n- Snowpark를 설치한 후 다른 버전의 `pyarrow`를 다시 설치하지 마십시오.\n\n\u003C!-- ------------------------ --\u003E\n## Snowflake 환경 준비\n\n\n### Snowflake 마켓플레이스로 작업\n\nSnowflake 마켓플레이스는 비즈니스 프로세스를 변환하는 데 사용되는 데이터 요소에 대한 액세스를 확장하는 서드 파티 데이터 스튜어드가 제공하는 다양한 데이터 세트에 대한 가시성을 제공합니다. 또한, Snowflake 마켓플레이스는 데이터 공급자가 전적으로 유지하는 데이터 세트에 대한 안전한 액세스를 제공하므로 데이터를 통합하거나 모델링할 필요가 없습니다.\n\nSnowflake 마켓플레이스로 작업하는 것을 검토하기 전에 Snowflake 평가판 버전을 설치했는지 확인합니다. 설치하지 않았다면 Install Snowflake Trial을 클릭합니다. 사용 가능한 평가판 계정을 보유하고 있으며 Snowflake 콘솔에 로그인했다면 다음 단계를 따릅니다.\n\n* 왼쪽 상단 모서리에서 ACCOUNTADMIN으로 로그인되어 있는지 확인합니다. 만약 그렇지 않다면 역할을 전환합니다.\n* Marketplace를 클릭합니다.\n* 검색 바에 Knoema Economy를 입력한 다음 Economy Data Atlas라는 타일 상자를 클릭합니다.\n\n![alt_text](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/cybersyn-essentials.png)\n\n* 오른쪽 상단 모서리에서 Get Data를 선택합니다.\n* 생성되는 데이터베이스에 액세스할 적절한 역할을 선택하고 Snowflake 소비자 사용 약관과 Knoema 사용 약관을 수락합니다.\n* 데이터베이스 생성\n\n## \n\n![alt_text](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/query-data.png)\n\n* 이제 Query Data를 선택하면 쿼리 사례가 포함된 워크시트가 열립니다.\n\n![alt_text](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr//sample-query.png)\n\n* 우리는 미국 인플레이션 데이터에 관심이 있으므로 `What is the US inflation over time?` 쿼리를 사용하여 애플리케이션을 위한 데이터를 탐색하겠습니다.\n  \n  ```\n  SELECT * FROM \"ECONOMY\".\"BEANIPA\" WHERE \"Table Name\" = 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product' AND \"Indicator Name\" = 'Personal consumption expenditures (PCE)' AND \"Frequency\" = 'A' ORDER BY \"Date\"\n  \n  ```\n\n### 새로운 데이터베이스 생성\n\n이제 Economy Data Atlas를 사용하여 데이터베이스를 생성했으니 사용자 정의 함수를 저장할 애플리케이션을 위한 데이터베이스를 생성해야 합니다.\n\nSnowflake 홈 메뉴에서 ‘Worksheets’를 선택합니다. ![](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/worksheet.png) 버튼을 선택하여\n\n새로운 워크시트를 생성합니다.\n\n워크시트에서 다음 스크립트를 복사합니다.\n\n```python\n-- First create database using the Knoema Economical Data Atlas\n-- Go to Marketplace to get database\n\n-- Setup database, need to be logged in as accountadmin role */\n--Set role and warehouse (compute)\nUSE ROLE accountadmin;\nUSE WAREHOUSE compute_wh;\n\n--Create database and stage for the Snowpark Python UDF\nCREATE DATABASE IF NOT EXISTS summit_hol;\nCREATE STAGE IF NOT EXISTS udf_stage;\n\n--Test the data\n-- What's the size?\nSELECT COUNT(*) FROM ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA;\n\n-- What is the US inflation over time?\nSELECT * FROM ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA\n   WHERE \"Table Name\" = 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product'\n     AND \"Indicator Name\" = 'Personal consumption expenditures (PCE)'\n     AND \"Frequency\" = 'A'\nORDER BY \"Date\"\n;\n\n-- Now create UDF in VS Code / Notebook\n-- Once we created the UDF with the Python Notebook we can test the UDF\nSELECT predict_pce_udf(2021);\n```\n\n\u003C!-- ------------------------ --\u003E\n## (Jupyter) 노트북으로 데이터 탐색\n\n\n이제 애플리케이션에 사용할 수 있는 데이터베이스를 보유하고 있으니 데이터를 탐색하고 애플리케이션이 사용할 수 있는 사용자 정의 함수(UDF)의 ML 모델을 생성하고자 합니다.\n\nVS Code를 열고 앞서 생성한 Python 스크립트가 포함된 폴더를 엽니다.\n\nPython 노트북(my_snowpark_pce.ipynb)과 Streamlit 애플리케이션 스크립트(my_snowpark_streamlit_app_pce.py)를 열 수 있습니다. 다양한 코드를 검토하겠습니다.\n\nVS Code가 Python 환경을 요구할 수도 있습니다. \\\\\n\n![alt_text](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/interpreter.png)\n\n앞서 생성한 ‘snowpark’ Conda 환경을 선택해야 합니다.\n\n오른쪽 하단 모서리에서 클릭하여 인터프리터를 선택할 수 있습니다. \\\\\n\n![alt_text](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/conda.png)\n\n### 노트북 초기화, 라이브러리 가져오기, Snowflake 연결 생성\n\nPython 스크립트를 생성하고 필수 라이브러리를 포함시키기 위해 가져오기 문을 추가하며 시작하겠습니다.\n\n```python\nfrom snowflake.snowpark.session import Session\nfrom snowflake.snowpark.types import IntegerType, FloatType\nfrom snowflake.snowpark.functions import avg, sum, col, udf, call_udf, call_builtin, year\nimport streamlit as st\nimport pandas as pd\nfrom datetime import date\n\n# scikit-learn (install: pip install -U scikit-learn)\nfrom sklearn.linear_model import LinearRegression\n```\n\n### Snowflake와 연결\n\n이 단계에서는 Snowflake와 연결하기 위한 [Session 객체](https://docs.snowflake.com/ko/LIMITEDACCESS/snowpark-python.html#creating-a-session \"alt_text\")를 생성하게 됩니다. 이를 빠르게 진행하는 방법은 다음과 같지만, 프로덕션 환경에서는 코드에 바로 하드 코딩 자격 증명을 사용하는 것이 권장되지 않습니다. 프로덕션 환경에 더 적합한 접근 방식은 예를 들어 [AWS Secrets Manager](https://github.com/iamontheinet/sf-code-snippets/blob/main/aws_secrets_manager_sf_connection.py) 또는 [Azure Key Vault](https://github.com/iamontheinet/sf-code-snippets/blob/main/azure_key_vault_sf_connection.py)에서 자격 증명을 로드하는 것입니다.\n\nSnowflake 설정 섹션에서 생성한 데이터베이스를 사용하겠습니다.\n\n```python\n# Session\nconnection_parameters = {\n   \"account\": \"\u003Caccount_identifier\u003E\",\n   \"user\": \"\u003Cusername\u003E\",\n   \"password\": \"\u003Cpassword\u003E\",\n   \"warehouse\": \"compute_wh\",\n   \"role\": \"accountadmin\",\n   \"database\": \"summit_hol\",\n   \"schema\": \"public\"\n}\nsession = Session.builder.configs(connection_parameters).create()\n# test if we have a connection\nsession.sql(\"select current_warehouse() wh, current_database() db, current_schema() schema, current_version() v\").show()\n```\n\n위 코드 조각에서 \"\\\u003C\u003E\" 안에 있는 변수를 자신의 값으로 바꿉니다.\n\n### SQL 문 및 Snowpark DataFrame을 사용하여 데이터 쿼리\n\n이 단계에서는 Session 객체에 있는 SQL 문을 실행하는 전통적인 메소드를 사용하여 데이터를 쿼리하겠습니다. 이는 Python 커넥터를 위해 Snowflake로 데이터를 쿼리하는 것과 비슷합니다.\n\n```sql\n# SQL query to explore the data\nsession.sql(\"SELECT * FROM ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA WHERE \\\"Table Name\\\" = 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product' AND \\\"Indicator Name\\\" = 'Personal consumption expenditures (PCE)' AND \\\"Frequency\\\" = 'A' ORDER BY \\\"Date\\\"\").show()\n```\n\n이제 Snowpark DataFrame으로 데이터를 쿼리하겠습니다. Snowpark는 느긋한 계산법을 사용하기에 쿼리 및 필터 조건이 생성되면 _show()_ 메소드가 이를 쿼리가 실행될 Snowflake 서버로 푸시합니다. 그러면 Snowflake와 클라이언트 또는 애플리케이션 간에 교환되는 데이터의 양이 줄어듭니다.\n\n```python\n# Now use Snowpark dataframe\nsnow_df_pce = (session.table(\"ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA\")\n                           .filter(col('Table Name') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                           .filter(col('Indicator Name') == 'Personal consumption expenditures (PCE)')\n                           .filter(col('\"Frequency\"') == 'A')\n                           .filter(col('\"Date\"') \u003E= '1972-01-01'))\nsnow_df_pce.show()\n```\n\n### ML 훈련을 위한 피처 생성\n\n애플리케이션의 일환으로 개인소비지출 가격 지수에 대한 몇 가지 예측을 얻어 보겠습니다. 따라서 모델을 scikit-learn 선형 회귀 모델로 훈련하는 데 사용할 수 있는 Pandas DataFrame을 생성하겠습니다.  Python용 Snowpark API는 Snowpark DataFrame을 Pandas로 변환하기 위해 메소드를 노출시킵니다. 이번에도 Snowpark의 느긋한 계산법을 사용하면 DataFrame 쿼리를 만들 수 있고, _to\\_pandas()_ 함수는 해당 쿼리를 Snowflake로 푸시하고 결과를 Pandas DataFrame으로 반환합니다.\n\n```python\n# Let Snowflake perform filtering using the Snowpark pushdown and display results in a Pandas dataframe\nsnow_df_pce = (session.table(\"ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA\")\n                       .filter(col('\"Table Name\"') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                       .filter(col('\"Indicator Name\"') == 'Personal consumption expenditures (PCE)')\n                       .filter(col('\"Frequency\"') == 'A')\n                       .filter(col('\"Date\"') \u003E= '1972-01-01'))\npd_df_pce_year = snow_df_pce.select(year(col('\"Date\"')).alias('\"Year\"'), col('\"Value\"').alias('PCE') ).to_pandas()\npd_df_pce_year\n```\n\n### 선형 회귀 모델 훈련\n\n이제 피처를 생성했으니 모델을 훈련할 수 있습니다. 이 단계에서는 NumPy 라이브러리를 사용하여 피처를 포함한 Pandas DataFrame을 배열로 변환하겠습니다. 훈련이 끝나면 예측을 표시할 수 있게 됩니다.\n\n```python\n# train model with PCE index\nx = pd_df_pce_year[\"Year\"].to_numpy().reshape(-1,1)\ny = pd_df_pce_year[\"PCE\"].to_numpy()\n\nmodel = LinearRegression().fit(x, y)\n\n# test model for 2021\npredictYear = 2021\npce_pred = model.predict([[predictYear]])\n# print the last 5 years\nprint (pd_df_pce_year.tail() )\n# run the prediction for 2021\nprint ('Prediction for '+str(predictYear)+': '+ str(round(pce_pred[0],2)))\n```\n\n### 훈련된 모델로 Snowflake에서 사용자 정의 함수 생성\n\n이 단계에서는 함수 입력을 기반으로 PCE 지수를 예측하기 위해 훈련된 모델을 사용할 Python 함수를 생성하겠습니다. 그런 다음, Snowpark API를 사용하여 UDF를 생성하겠습니다. Snowpark 라이브러리는 내부 스테이지에 함수를 위한 코드(및 훈련된 모델)를 업로드합니다. UDF를 호출하면 Snowpark 라이브러리는 데이터가 있는 서버에서 함수를 실행합니다. 결과적으로, 함수가 데이터를 처리하기 위해 데이터를 클라이언트로 전송할 필요가 없습니다.\n\n```python\ndef predict_pce(predictYear: int) -\u003E float:\n   return model.predict([[predictYear]])[0].round(2).astype(float)\n\n_ = session.udf.register(predict_pce,\n                       return_type=FloatType(),\n                       input_type=IntegerType(),\n                       packages= [\"pandas\",\"scikit-learn\"],\n                       is_permanent=True,\n                       name=\"predict_pce_udf\",\n                       replace=True,\n                       stage_location=\"@udf_stage\")\n```\n\n이제 Python에서 SQL 명령을 사용하여 UDF를 테스트할 수 있습니다.\n\n```python\nsession.sql(\"select predict_pce_udf(2021)\").show()\n```\n\n\u003C!-- ------------------------ --\u003E\n## Streamlit 애플리케이션 생성\n\n\n### 필수 라이브러리 가져오기\n\n이제 훈련된 ML 모델을 보유하고 있고 예측을 수행하기 위한 UDF를 생성했으니 Streamlit 애플리케이션을 생성할 수 있습니다.\n\n노트북과 비슷하게 Python 스크립트를 생성하고 필수 라이브러리를 포함시키기 위해 가져오기 문을 추가합니다.\n\n```python\n# Import required libraries\n# Snowpark\nfrom snowflake.snowpark.session import Session\nfrom snowflake.snowpark.types import IntegerType\nfrom snowflake.snowpark.functions import avg, sum, col, call_udf, lit, call_builtin, year\n# Pandas\nimport pandas as pd\n#Streamlit\nimport streamlit as st\n```\n\n### 애플리케이션 페이지 콘텍스트 설정\n\n애플리케이션 페이지의 콘텍스트를 설정해야 합니다.\n\n```python\n#Set page context\nst.set_page_config(\n    page_title=\"Economical Data Atlas\",\n    page_icon=\"🧊\",\n    layout=\"wide\",\n    initial_sidebar_state=\"expanded\",\n    menu_items={\n        'Get Help': 'https://developers.snowflake.com',\n        'About': \"This is an *extremely* cool app powered by Snowpark for Python, Streamlit, and Snowflake Marketplace\"\n    }\n)\n```\n\n### Snowflake와 연결\n\n이 단계에서는 Snowflake와 연결하기 위한 [Session 객체](https://docs.snowflake.com/ko/LIMITEDACCESS/snowpark-python.html#creating-a-session)를 생성하게 됩니다. 이를 빠르게 진행하는 방법은 다음과 같지만, 프로덕션 환경에서는 코드에 바로 하드 코딩 자격 증명을 사용하는 것이 권장되지 않습니다. 프로덕션 환경에 더 적합한 접근 방식은 예를 들어 [AWS Secrets Manager](https://github.com/iamontheinet/sf-code-snippets/blob/main/aws_secrets_manager_sf_connection.py) 또는 [Azure Key Vault](https://github.com/iamontheinet/sf-code-snippets/blob/main/azure_key_vault_sf_connection.py)에서 자격 증명을 로드하는 것입니다.\n\nSnowflake 설정 섹션에서 생성한 데이터베이스를 사용하겠습니다.\n\n```python\n# Create Session object\ndef create_session_object():\n   connection_parameters = {\n   \"account\": \"\u003Caccount_identifier\u003E\",\n   \"user\": \"\u003Cusername\u003E\",\n   \"password\": \"\u003Cpassword\u003E\",\n   \"warehouse\": \"compute_wh\",\n   \"role\": \"accountadmin\",\n   \"database\": \"SUMMIT_HOL\",\n   \"schema\": \"PUBLIC\"\n  }\n   session = Session.builder.configs(connection_parameters).create()\n   print(session.sql('select current_warehouse(), current_database(), current_schema()').collect())\n   return session\n```\n\n위 코드 조각에서 \"\\\u003C\u003E\" 안에 있는 변수를 자신의 값으로 바꿉니다.\n\n### Snowpark DataFrame에 데이터 로드\n\n이 단계에서는 연간 미국 인플레이션(개인소비지출, PCE) 데이터로 DataFrame을 생성하겠습니다. BEANIPA 테이블(BEA NIPA: 미국 상무부 경제 분석국 국민소득생산계정 데이터)을 사용하겠습니다. 이 테이블에는 약 160만 개의 행이 포함되어 있습니다. 이 데이터는 Snowpark의 느긋한 계산법을 사용하여 Snowflake에서 처리됩니다.\n\n노트북 섹션에서 생성한 훈련된 ML 모델을 포함한 UDF를 기반으로 실제 및 예상 PCE 값으로 DataFrame을 생성하겠습니다.\n\n그리고 데이터를 단일 그래프로 표시할 수 있도록 실제 및 예상 DataFrame을 새로운 하나의 DataFrame으로 결합하겠습니다.\n\nStreamlit으로 작업할 때는 Pandas DataFrame이 필요하며 Python용 Snowpark API는 Snowpark DataFrame을 Pandas로 변환하기 위해 메소드를 노출시킵니다.\n\n그리고 몇 가지 주요 지표를 표시하고자 하기에 DataFrame에서 지표를 추출하겠습니다.\n\n이에 더해 선택한 연도의 분기별 PCE 데이터와 주요 제품 유형별 분석 결과를 표시하고자 합니다. 이 데이터를 위해 2개의 DataFrame을 생성하겠습니다.\n\n```python\n  #US Inflation, Personal consumption expenditures (PCE) per year\n   #Prepare data frame, set query parameters\n   snow_df_pce = (session.table(\"ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA\")\n                           .filter(col('Table Name') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                           .filter(col('Indicator Name') == 'Personal consumption expenditures (PCE)')\n                           .filter(col('\"Frequency\"') == 'A')\n                           .filter(col('\"Date\"') \u003E= '1972-01-01'))\n   #Select columns, substract 100 from value column to reference baseline\n   snow_df_pce_year = snow_df_pce.select(year(col('\"Date\"')).alias('\"Year\"'), (col('\"Value\"')-100).alias('PCE')).sort('\"Year\"', ascending=False)\n   #convert to pandas dataframe\n   pd_df_pce_year = snow_df_pce_year.to_pandas()\n   #round the PCE series\n   pd_df_pce_year[\"PCE\"] = pd_df_pce_year[\"PCE\"].round(2)\n    #create metrics\n   latest_pce_year = pd_df_pce_year.loc[0][\"Year\"].astype('int')\n   latest_pce_value = pd_df_pce_year.loc[0][\"PCE\"]\n   delta_pce_value = latest_pce_value - pd_df_pce_year.loc[1][\"PCE\"]\n\n   #Use Snowflake UDF for Model Inference\n   snow_df_predict_years = session.create_dataframe([[int(latest_pce_year+1)], [int(latest_pce_year+2)],[int(latest_pce_year+3)]], schema=[\"Year\"])\n   pd_df_pce_predictions = snow_df_predict_years.select(col(\"year\"), call_udf(\"predict_pce_udf\", col(\"year\")).as_(\"pce\")).sort(col(\"year\")).to_pandas()\n   pd_df_pce_predictions.rename(columns={\"YEAR\": \"Year\"}, inplace=True)\n   #round the PCE prediction series\n   pd_df_pce_predictions[\"PCE\"] = pd_df_pce_predictions[\"PCE\"].round(2).astype(float)-100\n\n\n   #Combine actual and predictions dataframes\n   pd_df_pce_all = (\n       pd_df_pce_year.set_index('Year').sort_index().rename(columns={\"PCE\": \"Actual\"})\n       .append(pd_df_pce_predictions.set_index('Year').sort_index().rename(columns={\"PCE\": \"Prediction\"}))\n   )\n\n\n   #Data per quarter\n   snow_df_pce_q = (session.table(\"ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA\")\n                           .filter(col('Table Name') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                           .filter(col('Indicator Name') == 'Personal consumption expenditures (PCE)')\n                           .filter(col('\"Frequency\"') == 'Q')\n                           .select(year(col('\"Date\"')).alias('Year'),\n                                   call_builtin(\"date_part\", 'quarter', col('\"Date\"')).alias('\"Quarter\"') ,\n                                   (col('\"Value\"')-100).alias('PCE'))\n                           .sort('Year', ascending=False))\n\n\n   # by Major Type Of Product\n   snow_df_pce_all = (session.table(\"ECONOMY_DATA_ATLAS.ECONOMY.BEANIPA\")\n                       .filter(col('\"Table Name\"') == 'Price Indexes For Personal Consumption Expenditures By Major Type Of Product')\n                       .filter(col('\"Indicator Name\"') != 'Personal consumption expenditures (PCE)')\n                       .filter(col('\"Frequency\"') == 'A')\n                       .filter(col('\"Date\"') \u003E= '1972-01-01')\n                       .select('\"Indicator Name\"', year(col('\"Date\"')).alias('Year'), (col('\"Value\"')-100).alias('PCE') ))\n```\n\n### 웹 페이지 구성 요소 추가\n\n이 단계에서는 다음을 추가하겠습니다.\n\n1. 헤더 및 하위 헤더(Streamlit의 _columns()_ 및 _container()_를 사용하여 애플리케이션 콘텐츠를 정리하기 위해 컨테이너와 열을 사용하기도 함)\n2. Streamlit의 지표 함수를 사용하는 델타를 포함한 지표 디스플레이\n3. Streamlit의 selectbox\\_()\\_ 및 _bar\\_chart()_를 사용하는 인터랙티브 막대형 그래프\n\n```python\n   # Add header and a subheader\n   st.title(\"Knoema: Economical Data Atlas\")\n   st.header(\"Powered by Snowpark for Python and Snowflake Marketplace | Made with Streamlit\")\n   st.subheader(\"Personal consumption expenditures (PCE) over the last 25 years, baseline is 2012\")\n   # Add an explanation on the PCE Price Index that can be expanded\n   with st.expander(\"What is the Personal Consumption Expenditures Price Index?\"):\n       st.write(\"\"\"\n        The prices you pay for goods and services change all the time – moving at different rates and even in different directions. Some prices may drop while others are going up. A price index is a way of looking beyond individual price tags to measure overall inflation (or deflation) for a group of goods and services over time.\n\n\n        The Personal Consumption Expenditures Price Index is a measure of the prices that people living in the United States, or those buying on their behalf, pay for goods and services.The PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and reflecting changes in consumer behavior.\n       \"\"\")\n   # Use columns to display metrics for global value and predictions\n   col11, col12, col13 = st.columns(3)\n   with st.container():\n       with col11:\n           st.metric(\"PCE in \" + str(latest_pce_year), round(latest_pce_value), round(delta_pce_value), delta_color=(\"inverse\"))\n       with col12:\n           st.metric(\"Predicted PCE for \" + str(int(pd_df_pce_predictions.loc[0][\"Year\"])), round(pd_df_pce_predictions.loc[0][\"PCE\"]),\n               round((pd_df_pce_predictions.loc[0][\"PCE\"] - latest_pce_value)), delta_color=(\"inverse\"))\n       with col13:\n           st.metric(\"Predicted PCE for \" + str(int(pd_df_pce_predictions.loc[1][\"Year\"])), round(pd_df_pce_predictions.loc[1][\"PCE\"]),\n               round((pd_df_pce_predictions.loc[1][\"PCE\"] - latest_pce_value)), delta_color=(\"inverse\"))\n\n   # Barchart with actual and predicted PCE\n   st.bar_chart(data=pd_df_pce_all.tail(25), width=0, height=0, use_container_width=True)\n\n   # Display interactive chart to visualize PCE per quarter and per major type of product.\n   with st.container():\n\n\n       year_selection = st.selectbox('Select year', pd_df_pce_year['Year'].head(25),index=0 )\n       pd_df_pce_q = snow_df_pce_q.filter(col('Year') == year_selection).sort(col('\"Quarter\"')).to_pandas().set_index('Quarter')\n       with st.expander(\"Price Indexes For Personal Consumption Expenditures per Quarter\"):\n            st.bar_chart(data=pd_df_pce_q['PCE'], width=0, height=500, use_container_width=True)\n       pd_df_pce_all = snow_df_pce_all.filter(col('Year') == year_selection).sort(col('\"Indicator Name\"')).to_pandas().set_index('Indicator Name')\n       st.write(\"Price Indexes For Personal Consumption Expenditures By Major Type Of Product\")\n       st.bar_chart(data=pd_df_pce_all['PCE'], width=0, height=500, use_container_width=True)\n```\n\n위 코드 조각에서는 매개변수 중 하나로 DataFrame을 사용하는 Streamlit의 _bar\\_chart()_를 사용하여 막대형 그래프가 만들어 졌습니다. 이 경우, 이는 훈련된 ML 모델이 포함되어 있는 Snowflake 사용자 정의 함수를 활용하는 예상 PCE 값이 포함된 Snowpark DataFrame의 \\_filter() \\_combined를 통해 날짜별로 필터링된 개인소비지출(PCE) 가격 지수 DataFrame의 하위 집합(25년)입니다. 최신 PCE 값과 작년 델타를 포함한 향후 2개의 예측과 같은 주요 지표는 Streamlit \\_metric() \\_function을 사용하여 표시됩니다.\n\n상세 정보는 연도 선택(Streamlit\\_ selectbox() _ function), 선택한 연도의 분기별 값을 포함한 그래프, 선택한 연도의 주요 제품 유형 PCE 값에 대한 상세한 그래프를 사용하여 표시할 수 있습니다. 연도를 선택할 때마다 쿼리가 Snowflake에서 실행되고 결과가 Snowpark 및 Streamlit으로 표시됩니다.\n\n\u003C!-- ------------------------ --\u003E\n## 웹 애플리케이션 실행\n\n\n재미 있는 부분입니다! Python 스크립트에 구문 및 연결 오류가 없다면 애플리케이션을 실행할 준비가 된 것입니다.\n\n명령줄 또는 VS Code의 터미널 섹션에서 다음을 실행하여 애플리케이션을 실행할 수 있습니다.   \n\u003Ccode\u003Estreamlit run my_snowpark_streamlit_app_pce.py\u003C/code\u003E\u003C/strong\u003E (\u003Cem\u003Emy_snowpark_streamlit_app_pce.py\u003C/em\u003E를 자신의 Python 스크립트로 바꿉니다.)\n\n\u003Ccode\u003Econda activate snowpark\u003C/code\u003E 터미널 명령을 사용하여 ‘snowpark’ Conda 환경이 활성화되어 있는지 확인합니다.\u003C/strong\u003E\n\n올바른 Conda 환경을 선택했음을 나타내는 터미널 프롬프트가 나타납니다.\n\n```sql\n(base) user SummitHOL % conda activate snowpark\n(snowpark) user SummitHOL %\n           \n```\n\n애플리케이션에서:\n\n1. ‘+’로 표시된 확장 섹션을 클릭할 수 있습니다.\n2. 상세 정보를 표시하기 위해 연도를 선택할 수 있습니다.\n3. 분기별 PCE 값은 기본값으로 축소되어 있습니다. ‘+’를 클릭해 확장할 수 있습니다.\n\n![alt_text](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/data-apps-summit-lab-kr/streamlit-output.png)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":items":{},":itemsOrder":[],"isDeveloperGuidesPage":false,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-4f3a6c1ba0","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-b050d5e390",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-9d1db1ecfa","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2025-11-23",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-34895bf61c","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-e01bedc07f",":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-505d4e0f08",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_table_of_":{"layout":"SIMPLE","id":"container-c7c5099972","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-83001da8f9","headings":["\u003Ch2\u003E개요\u003C/h2\u003E","\u003Ch2\u003E랩 환경 준비\u003C/h2\u003E","\u003Ch2\u003ESnowflake 환경 준비\u003C/h2\u003E","\u003Ch2\u003E(Jupyter) 노트북으로 데이터 탐색\u003C/h2\u003E","\u003Ch2\u003EStreamlit 애플리케이션 생성\u003C/h2\u003E","\u003Ch2\u003E웹 애플리케이션 실행\u003C/h2\u003E"],"fragmentPath":"/content/dam/snowflake-site/ko/content-fragments/quickstarts/data-apps-summit-lab-kr",":type":"snowflake-site/components/quickstart/quickstart-table-of-content"},"quickstart_button":{"id":"quickstart-button-4063077b74","fragmentPath":"/content/dam/snowflake-site/ko/content-fragments/quickstarts/data-apps-summit-lab-kr",":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-5cf38bc21e","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-7e687cef03",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-c832009660","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ko/site/footer/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","classNames":"aem-xf",":items":{"root":{"additionalClasses":"sf-footer","layout":"SIMPLE","id":"container-51e74c2f32",":type":"snowflake-site/components/container","appliedCssClassNames":"ui-background-02",":items":{"container_copy_1901439591":{"additionalClasses":"sf-footer__inner","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-9362aa63a9",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":items":{"flexible_column_cont":{"id":"flexible-column-container-091f4f1aa8","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-403ae5289e",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sf-footer-grid__inner","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","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"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-f68f90e6ee",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"container_1622723482":{"additionalClasses":"sf-footer__column","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-70732c0163",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"container":{"additionalClasses":"sf-footer__newsletter-group","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12","marketo_v2":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-99413665b0",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-67290f5805","additionalClasses":"sf-footer__newsletter-title","text":"\u003Cp\u003E\u003Cb\u003E월간 뉴스레터 구독하기\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003ESnowflake의 최신 제품 정보, 전문가 인사이트 및 유용한 리소스를 이메일로 편리하게 받아보세요.\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-ac4e8f280d","marketoForm":{"hidden":null,"successUrl":null,"edit":false,"formId":"45871","script":null,"values":null},"munchkinId":"252-RFO-227","serverInstance":"252-RFO-227.mktoweb.com","marketoConfigured":true,"formConfigured":true,":type":"snowflake-site/components/form/marketo-v2"}},":itemsOrder":["text","marketo_v2"]}},":itemsOrder":["container"]},"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text_copy":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-079249faf6",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"text":{"id":"text-bd5c16f7b2","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003E제품\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/product/platform/\"\u003EPlatform\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/product/data-engineering/\"\u003EData Engineering\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/product/analytics/\"\u003EAnalytics\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/product/ai/\"\u003EAI\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/product/applications-and-collaboration/\"\u003EApplications & Collaboration\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/pricing-options/\"\u003E요금\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-b815fb1f46","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=\"/en/support/\"\u003ESupport (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/support/\"\u003E우선 지원 (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://status.snowflake.com/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003E지원 현황 (EN)\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":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-9bb5617398",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-8a5d086386","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003E산업용\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/solutions/industries/advertising-media-entertainment/\"\u003E광고, 미디어 및 엔터테인먼트\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/solutions/industries/financial-services/\"\u003E금융 서비스\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/solutions/industries/healthcare-and-life-sciences/\"\u003E헬스케어 및 라이프사이언스\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/solutions/industries/manufacturing/\"\u003E제조\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/solutions/industries/public-sector/\"\u003E공공 부문\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/solutions/industries/retail-consumer-goods/\"\u003E리테일/소비재\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/solutions/industries/technology/\"\u003E테크놀로지\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":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-2fcf252c70",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-6677cd3483","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003E회사\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/company/overview/about-snowflake/\"\u003ESnowflake 소개\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/leadership-and-board/\"\u003E리더십 및 이사진 (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://careers.snowflake.com/us/en?_ga=2.189098923.1024280027.1746985324-1783381883.1746382047\"\u003E채용 (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://investors.snowflake.com/overview/default.aspx\" target=\"_blank\" rel=\"noopener noreferrer\"\u003E투자자 관계 (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://trust.snowflake.com/\"\u003ETrust Center (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/brand-guidelines/\"\u003E브랜드 가이드라인 (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/contact/\"\u003E연락처\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/news/\"\u003E뉴스룸\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/esg/\"\u003EESG (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/snowflake-ventures/\"\u003ESnowflake Ventures (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/end-data-disparity/\"\u003E데이터 불평등 종식 (EN)\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_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-9af3742bd8",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-f3779ab51d","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003E학습\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://snowflake.com/ko/resources/\"\u003E리소스 라이브러리\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/webinars/demo/\"\u003E라이브 데모 (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/ko/fundamentals/\"\u003EFundamentals\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/resources/learn/training/\"\u003E교육 (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/resources/learn/certifications/\"\u003E자격 인증\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://learn.snowflake.com/en/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ESnowflake University (EN)\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/developers/guides/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003E개발자가이드\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003E설명서 (EN)\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","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container_112062425":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-02475ced41",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-none",":items":{"container_112062425":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-f1fef7fbc2",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":items":{"flexible_column_cont":{"id":"flexible-column-container-5ccc15fa13","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-a961b8dba3",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sf-footer__legal-container","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","text_copy_copy_16360_258165670":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-428f47e112",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-none",":items":{"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"image":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-3a633d725e",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"image":{"id":"image-b9200971a1","additionalClasses":"sf-footer__logo","height":"64","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ko/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","alt":"Snowflake logo","imageLink":{"valid":true,"url":"/en/"},"lazyEnabled":true,"width":"64",":type":"snowflake-site/components/image"}},":itemsOrder":["image"]},"text_copy_copy_16360_258165670":{"id":"text-f1d87c0992","additionalClasses":"sf-footer__legal-links","text":"\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/legal/privacy/privacy-policy/\"\u003E개인정보 처리방침\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/snowflake-site-terms/\"\u003E사이트 이용 약관\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://info.snowflake.com/Preference-center.html\"\u003E이메일 수신 설정\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Cbutton id=\"ot-sdk-btn\" class=\"ot-sdk-show-settings\"\u003E쿠키 설정\u003C/button\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/legal/privacy/privacy-policy/#12\"\u003E개인 정보를 공유하지 않습니다.\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/legal/\"\u003E법률\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E© 2026 Snowflake Inc. All Rights Reserved ㅣ 스노우플레이크코리아 유한회사 ㅣ 대표자: 마이클파스콸스카펠리 ㅣ 주소: 서울특별시 강남구 테헤란로 134, 10층(역삼동, 포스코타워 역삼) ㅣ 사업자등록번호: 523-87-02399\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-ac87dcf742","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","cssContent":".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}.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}}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["container","text_copy_copy_16360_258165670","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-f80636e9ab","title":"New css","cssContent":"body:has(.snowflake-skip-to-content[style=\"top:82px;\"]) #subNav,body:has(.snowflake-skip-to-content[style=\"top:90px;\"]) #subNav,body:has(.snowflake-skip-to-content[style=\"top:98px;\"]) #subNav,.pushdown-banner-dismissed #subNav{top:var(--scroll-padding-top) !important;transition:300ms ease top}.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:1.4}.related-chip-25 .snowflake-content-chip-image{width:48px}.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:hover::after{right:24px;transition:300ms ease right}.related-chip-25 .snowflake-content-chip-content-without-tag{flex-grow:1;padding-right:24px}.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}.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,3.5vw,4rem) !important;line-height:.85 !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 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}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["container_copy_1901439591","container_573483281_","markup_editor_copy"]}},":itemsOrder":["root"]},"markup_editor":{"id":"markup-editor-3babd30e22","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"],":hierarchyType":"page",":path":"/content/snowflake-site/global/ko/developers/guides/data-apps-summit-lab-kr","isPasswordProtected":false,"coveoConfig":{"pipeline":"snowflake.com","searchHub":"snowflake.com","organizationId":"snowflakecomputingproduction8neljofn","apiKey":"xx335921a6-2a0a-40f2-a167-e390b4766c3d"},"analyticsDebugMode":false,"locale":"ko"}