{"cssClassNames":"page basicpage summit-page","templateName":"quickstart-page-template","allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"language":"ja","title":"Snowflake上でCoCoを使ったエンドツーエンドアプリケーションの構築","analyticsPageType":"quickstart-page-template","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,":mappedPath":"/ja/developers/guides/sfguide-build-end-to-end-ai-app-on-snowflake-ja/",":type":"snowflake-site/components/structure/page",":items":{"root":{"columnCount":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"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12",":items":{"experiencefragment-banner":{"id":"experiencefragment-acfb01e4fd","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/pushdown-banner/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","classNames":"aem-xf",":items":{"root":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"pushdown_banner_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-2489db6d0a",":type":"snowflake-site/components/container",":items":{"pushdown_banner_copy":{"id":"pushdown-banner-9984416166","contentHeadline":"SNOWFLAKE WORLD TOUR TOKYO（9月10日〜11日 東京開催）","contentDescription":"今なら、一般登録に先駆けてセッション登録ができる早期登録者特典が得られます。","contentJustifyContent":"center","linkStyle":"text-white","linkCTA":{"id":"link-cta","heapButtonClasses":["pushdown_banner"],"showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://www.snowflake.com/ja/world-tour/tokyo/?utm_cta=homepage-pushdown-banner"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"今すぐ登録"},":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-0c455e7aa5","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/mega-nav-header/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","classNames":"aem-xf",":items":{"root":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"mega_header":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-96d62f3a99",":type":"snowflake-site/components/container",":items":{"markup_editor":{"id":"markup-editor-bc60210efc","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:'Snowflakeで実現できること\u003E';display:block;color:var(--ui-01);margin-top:16px}.nav-item__platform-parent .snowflake-mega-nav-nav-item-description::after{content:'プラットフォームを見る\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-6fb274c5a7",":type":"snowflake-site/components/mega-header",":items":{"nav_mega":{"activeItem":"item_1719963657751_c_663444255","id":"tabs-257f343482",":type":"snowflake-site/components/nav/nav-mega",":items":{"item_1719963657751_c_663444255":{"id":"nav-dropdown-menu-b674f5a715","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-fe8b5248d2",":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-0b1d25e2e5",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_copy_2_793631646":{"id":"nav-item-2d17c9cae2","additionalClasses":"nav-item__platform-parent","linkDescription":"データの種類や規模に関係なくビジネスをセキュアに接続するフルマネージドのプラットフォームで、AIプロダクトやアプリなどを開発できます。","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/platform/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflakeプラットフォーム"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-fac60fa079","additionalClasses":"nav-item nav-item--si","linkDescription":"あらゆる知識を集約、信頼のエンタープライズAIエージェントが応える","flag":"NOW GA","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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-0c57cc12a5","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/analytics/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"アナリティクス"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy_2":{"id":"nav-item-db4438f70b","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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-e738420e65","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/data-engineering/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"データエンジニアリング"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144634_929542939":{"id":"nav-item-a71335ec78","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/applications-and-collaboration/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"アプリケーションとコラボレーション"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144634_115249434":{"id":"nav-item-b2d28046ea","additionalClasses":"blue-icon","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/transactions/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"トランザクション"},":type":"snowflake-site/components/nav/nav-item"},"nav_item":{"id":"nav-item-139663dc66",":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_929542939","nav_item_copy_144634_115249434","nav_item"]},"nav_column_copy_copy":{"additionalClasses":"meganav-platform-features","navColumnTitle":"注目の機能","numberOfSubColumns":"two-columns","layout":"SIMPLE","id":"container-0568ff3ca4",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_212715_1193254885":{"id":"nav-item-65e5b7fc09","linkDescription":"SnowflakeネイティブAIコーディングエージェント","flag":"New","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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_898460603":{"id":"nav-item-0bafb15e5f","linkDescription":"Snowflake上で動作する、完全な互換性を備えたオープンソースのPostgres","flag":"NOW GA","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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_716480505":{"id":"nav-item-f3f6751aaf","propertiesId":"testID","linkDescription":"業界をリードするLLMへのほぼ即時のアクセス","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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_copy_212715":{"id":"nav-item-a555ae9756","linkDescription":"統合のためのスムーズなデータ移動","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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_655386423":{"id":"nav-item-9381327404","propertiesId":"testID","linkDescription":"数分で接続可能なサードパーティデータソース","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/features/marketplace/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"マーケットプレイス"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590_718021728":{"id":"nav-item-cadf03c4ef","linkDescription":"データチームやAIチームのためのインタラクティブな開発環境","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/features/notebooks/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Notebook"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590_622392430":{"id":"nav-item-fc056547ad","linkDescription":"Pythonやその他の言語を実行するためのライブラリとコード実行環境","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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-16debe6bd2","linkDescription":"プライバシーを保護したデータコラボレーション","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/features/data-clean-rooms/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"データクリーンルーム"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590_983061516":{"id":"nav-item-1620ae459b","linkDescription":"Pythonスクリプトをウェブアプリに変換するためのフレームワーク","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（英語）"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_258535199_c":{"id":"nav-item-bf4547da36","propertiesId":"workload-nav-1","linkDescription":"Snowflakeネイティブなアプリのエンドツーエンドでの作成と配布","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/features/native-apps/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"ネイティブアプリ"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_212715_1193254885","nav_item_898460603","nav_item_copy_716480505","nav_item_copy_212715","nav_item_copy_655386423","nav_item_copy_660590_718021728","nav_item_copy_660590_622392430","nav_item_copy_185565","nav_item_copy_660590_983061516","nav_item_258535199_c"]},"nav_column_676020780":{"numberOfSubColumns":"one-column","maxWidth":"300","layout":"SIMPLE","id":"container-1e1bd12147",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_copy":{"id":"nav-item-fc78b9fba1","additionalClasses":"is-light-gray-icon","linkDescription":"ユニバーサルAIカタログ","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/product/features/horizon/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Horizonカタログ"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_660590":{"id":"nav-item-4a27be8e23","linkDescription":"一元化されたUIによる合理化されたモデル開発とMLOps","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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_41538387_co":{"id":"nav-item-1c8af6f9ae","linkDescription":"Snowflakeでトランザクションワークロードと分析ワークロードを統合し、さらなる簡素化を実現","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/product/features/unistore/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"ユニストア（英語）"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_copy","nav_item_copy_660590","nav_item_41538387_co"]}},":itemsOrder":["nav_column","nav_column_copy_copy","nav_column_676020780"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"プロダクト"},"nav_dropdown_menu_2":{"id":"nav-dropdown-menu-37ceb7cc7b","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-9f6d4c1f64",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column":{"navColumnTitle":"業界","numberOfSubColumns":"one-column","minWidth":"280","layout":"SIMPLE","id":"container-6a94ec38f4",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_153342":{"id":"nav-item-578bc527ce","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/manufacturing/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"製造"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1533429516":{"id":"nav-item-e3e648f5ed","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/manufacturing/automotive/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"自動車"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-74fb567693","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/financial-services/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"金融サービス"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1149488919":{"id":"nav-item-bbd8622963","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/retail-consumer-goods/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"小売・消費財"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_361384674":{"id":"nav-item-deecc51592","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/telecom/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"通信"},":type":"snowflake-site/components/nav/nav-item"},"nav_item":{"id":"nav-item-58e3756536","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/advertising-media-entertainment/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"広告・メディア・エンターテイメント"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1970515619":{"id":"nav-item-b30efc8629","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/healthcare-and-life-sciences/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"ヘルスケア・ライフサイエンス"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_361384_311786134":{"id":"nav-item-5ecac25851","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/travel-hospitality/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"旅行・ホスピタリティ"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_361384":{"id":"nav-item-13136fc659","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/manufacturing/energy/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"エネルギー"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144445":{"id":"nav-item-311f55df8a","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/public-sector/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"官公庁・公的機関"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1444458226":{"id":"nav-item-b8b9099778","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/industries/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"すべての業種"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item_copy_153342","nav_item_copy_1533429516","nav_item_copy","nav_item_copy_1149488919","nav_item_copy_361384674","nav_item","nav_item_copy_1970515619","nav_item_copy_361384_311786134","nav_item_copy_361384","nav_item_copy_144445","nav_item_copy_1444458226"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"nav_column_copy":{"navColumnTitle":"部門","numberOfSubColumns":"one-column","minWidth":"160","layout":"SIMPLE","id":"container-f500440aeb",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-b3b1820f06","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/departments/finance/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"財務"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-cf509eca6a","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/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-ddc753ea21","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/departments/marketing/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"マーケティング"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1533429516":{"id":"nav-item-8f94a35eed","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/solutions/departments/cybersecurity/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"サイバーセキュリティ"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_copy","nav_item_copy_1970515619","nav_item_copy_1533429516"]},"nav_column_833417450":{"navColumnTitle":"イネーブルメントソリューション","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-5193109ed4",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_107772":{"id":"nav-item-8afa887e4f","linkDescription":"統合プラットフォームへの移行の不安を解消","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/migrate-to-the-cloud/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"AIデータクラウドへの移行"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Cloud icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1779170239130/nav-icon-cloud.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy":{"id":"nav-item-144fee9aaf","linkDescription":"Snowflakeのエキスパートがビジネスの加速と目標達成を支援","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/solutions/services-delivery/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"サービス提供（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Migrate icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1779170420240/nav-icon--migrate.svg","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":"パートナーソリューション","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-4d55ad15be",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-334a7aafe9","linkDescription":"製品、ソリューション、クラウドのパートナープログラム","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/why-snowflake/partners/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflakeパートナーネットワーク"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Partner Network icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1779170253125/nav-icon--partner-network.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-f2098ecb3b","linkDescription":"展開強化のためのパートナー、アプリ、ソリューション","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":"パートナーを見つける（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Partner Finder icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1764979537932/nav-icon--partner-finder.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1970515619":{"id":"nav-item-60753cbb2a","linkDescription":"ライブイベントやバーチャルイベントの開催","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":"パートナーのためのイベント（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Calendar icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740635895261/nav-icon--events.svg","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":"ソリューション"},"item_1719963657751_c":{"id":"nav-dropdown-menu-7f3e51e115","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-e66d056a3d",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column":{"numberOfSubColumns":"one-column","minWidth":"230","maxWidth":"350","layout":"SIMPLE","id":"container-21975bf369",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy_copy_2_793631646":{"id":"nav-item-9f51912503","additionalClasses":"nav-item__platform-parent-why-sf","linkDescription":"ローカルまたはグローバルなコラボレーションにより、新たなインサイトの発見やこれまで認識できなかったビジネス機会の創出が可能になり、シームレスな体験の実現を通じて顧客理解が深まります。","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/why-snowflake/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Snowflakeを選ぶ理由"},":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-e927908f2d",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-9141053592","propertiesId":"testID","linkDescription":"グローバルな組織によるSnowflakeの活用事例をケーススタディと動画で紹介","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/customers/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"カスタマーストーリー"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Customer icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740635941203/nav-icon--partner-network.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_258535199":{"id":"nav-item-855f87615f","propertiesId":"workload-nav-1","linkDescription":"データやアプリの接続、共有、統合を可能にするAIデータクラウドの概要紹介","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/why-snowflake/what-is-data-cloud/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"AIデータクラウドとは"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Cloud icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740635973565/nav-icon-cloud.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_185565":{"id":"nav-item-46f931d592","linkDescription":"組み込みの機能やクラウドインフラストラクチャの堅牢な保護などによる包括的なセキュリティ","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/why-snowflake/snowflake-security-hub/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"セキュリティハブ"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"User with security lock icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1779169641095/user-security-admins-ciso-icon.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-440268a0c0","additionalClasses":"is-light-gray-icon","linkDescription":"TCOの最小化と継続的な価格性能比の最適化を通じて、経済的価値の最大化を実現","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/pricing-options/cost-and-performance-optimization/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"コストとパフォーマンスの最適化"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Cost Optimization icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1764979571095/nav-icon-cost-optimization-performance.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_1860117577":{"id":"nav-item-5f17d31caa","linkDescription":"AIデータクラウドでアプリケーションを構築するスタートアップ企業","button":{"id":"button","showOutboundIcon":false,"accessibilityLabel":"Snowflake for Startups","buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/why-snowflake/startup-program/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"スタートアップ企業のためのSnowflake（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Launch icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719963657751_c/nav_column_container/nav_column_copy_copy/nav_item_1860117577/icon.coreimg.svg/1779172755133/launch.svg","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_1860117577"]}},":itemsOrder":["nav_column","nav_column_copy_copy"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"Snowflakeを選ぶ理由"},"item_1719961362824":{"id":"nav-dropdown-menu-41d47a4133","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-93692ae66f",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column_copy":{"navColumnTitle":"つながる","numberOfSubColumns":"one-column","minWidth":"200","layout":"SIMPLE","id":"container-1fdcd566d2",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-7ec586dd2b","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/blog/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"ブログ"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_180298689":{"id":"nav-item-453e7d7ebb","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/events/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"イベント"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_1639361946":{"id":"nav-item-df08c6c9b2","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/support/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"サポート（英語）"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_680912746":{"id":"nav-item-bb3f5b4719","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/contact/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"お問い合わせ"},":type":"snowflake-site/components/nav/nav-item"}},":itemsOrder":["nav_item","nav_item_180298689","nav_item_1639361946","nav_item_680912746"]},"nav_column_44600420__826130542":{"navColumnTitle":"学ぶ","numberOfSubColumns":"two-columns","layout":"SIMPLE","id":"container-24ebfcf681",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item_copy":{"id":"nav-item-efc823628c","linkDescription":"eBook、ポッドキャスト、動画、ホワイトペーパー、その他","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/resources/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"リソースライブラリ"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Notebooks icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1779171979417/nav-icon--notebooks.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item":{"id":"nav-item-5ac35ecc0c","linkDescription":"Snowflakeの教育オファリングの概要","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/resources/learn/training/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"トレーニング（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Training icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636044421/nav-icon--training.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_144634_1984107859":{"id":"nav-item-2e404f0ab4","linkDescription":"エキスパートによる、さまざまな業界やユースケースについてのディスカッションとデモ","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/webinars/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"ウェビナー"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Webinars icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1773154143134/nav-icon--webinars.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1438098918":{"id":"nav-item-8431c14685","linkDescription":"Snowflakeの技術業界プロフェッショナル認定資格","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/resources/learn/certifications/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"認定資格"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Certification icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636064365/nav-icon--cert.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_143809":{"id":"nav-item-27d0568b2d","linkDescription":"主要な機能を紹介する、毎週開催の製品デモとライブQ&A","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/live-demo/?lang=ja"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"ライブデモ"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Live Demo icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636024013/nav-icon--live-demo.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_333890638":{"id":"nav-item-3356a058e6","linkDescription":"習熟度に応じた、オンデマンドまたはインストラクターによるトレーニングコース","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（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Education icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636071015/nav-icon--education.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_189945_905223977":{"id":"nav-item-7f11521c29","linkDescription":"Snowflakeの主要な機能を体験できる、インストラクターによるバーチャルワークショップ","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/virtual-hands-on-lab/?lang=ja"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"ハンズオンラボ"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Hands-on Labs icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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_905223977/icon.coreimg.svg/1740636037740/nav-icon--labs.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_189945":{"id":"nav-item-28a84278cd","linkDescription":"Snowflakeの研究者が執筆した学術論文","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研究開発資料（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Data Sheet","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_copy_189945/icon.coreimg.svg/1779173639149/data-sheet.svg","width":"65",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_35712637":{"id":"nav-item-0a274a33c4","linkDescription":"AIとデータに関する情報記事","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/fundamentals/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"AIデータクラウドの基礎"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Fundamentals","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/site/mega-nav-header/master/_jcr_content/root/mega_header/nav_mega/item_1719961362824/nav_column_container/nav_column_44600420__826130542/nav_item_35712637/icon.coreimg.svg/1779172273319/nav-icon--notebooks.svg","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_905223977","nav_item_copy_189945","nav_item_35712637"]}},":itemsOrder":["nav_column_copy","nav_column_44600420__826130542"]},":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"リソースのご紹介"},"item_1719963657751":{"id":"nav-dropdown-menu-f86093e34e","enableDropdown":true,"nav_column_container":{"layout":"SIMPLE","id":"container-2173578069",":type":"snowflake-site/components/nav/nav-column/nav-column-container",":items":{"nav_column_copy_copy":{"navColumnTitle":"構築する","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-0fd1b10d57",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-966bc55a58","propertiesId":"testID","linkDescription":"構築とスケーリングに必要な開発リソースの概要","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"開発者のためのSnowflake（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Developers icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1779172469867/nav-icon--devs.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1855651246":{"id":"nav-item-59ae8decb2","linkDescription":"リファレンスアーキテクチャ、ユースケース、ベストプラクティス","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/developers/guides/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"開発者ガイド"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Solution Center icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1761757650759/nav-icon--solution-center.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-d7e401439a","additionalClasses":"is-light-gray-icon","linkDescription":"最新のソフトウェアバージョン、ドライバー、ライブラリ、関連ドキュメント","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/downloads/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"ダウンロード（英語）"},"icon":{"id":"icon","height":"28","lazyEnabled":true,"alt":"Download icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636104927/nav-icon-download.svg","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":"学ぶ","numberOfSubColumns":"one-column","layout":"SIMPLE","id":"container-fb239bbd79",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-06e38d1d2f","propertiesId":"testID","linkDescription":"リファレンス、ガイド、チュートリアル、発表資料","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://docs.snowflake.com/ja"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"ドキュメント"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Docs icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636111253/nav-icon--docs.svg","width":"64",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy":{"id":"nav-item-e0cfbbd7a1","additionalClasses":"is-light-gray-icon","linkDescription":"Snowflakeエンジニアが保守およびサポートしている重要プロジェクト","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/open-source/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"オープンソース（英語）"},"icon":{"id":"icon","height":"32","lazyEnabled":true,"alt":"Open Source icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636127119/nav-icon-open-source.svg","width":"32",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_copy":{"id":"nav-item-2145a6008a","additionalClasses":"is-light-gray-icon","linkDescription":"Snowflakeスキル向上のためのオンラインと対面のクラスやワークショップ","button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/developers/northstar/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"ビルダー教育（英語）"},"icon":{"id":"icon","height":"32","lazyEnabled":true,"alt":"Northstar logo","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636131947/nav-icon--northstar.svg","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-160cbf1f83",":type":"snowflake-site/components/nav/nav-column",":items":{"nav_item":{"id":"nav-item-e6684193c9","propertiesId":"testID","linkDescription":"Snowflakeの技術リーダーによる機能のビルドについての情報","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":"エンジニアリングブログ（英語）"},"icon":{"id":"icon","height":"32","lazyEnabled":true,"alt":"Developers icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636137545/nav-icon--developer-center.svg","width":"32",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/nav/nav-item"},"nav_item_copy_1855651246":{"id":"nav-item-98ad07bc0b","linkDescription":"Snowflake開発者とのヒント、コツ、ディスカッションの共有","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":"コミュニティ（英語）"},"icon":{"id":"icon","height":"64","lazyEnabled":true,"alt":"Partner Network icon","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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/1740636144841/nav-icon--partner-network.svg","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":"開発者向け"},"item_1718247180324":{"id":"nav-dropdown-menu-b6c9fa8c59","enableDropdown":false,"link_url":"/ja/pricing-options/",":type":"snowflake-site/components/nav/nav-dropdown-menu","cq:panelTitle":"料金"}},":itemsOrder":["item_1719963657751_c_663444255","nav_dropdown_menu_2","item_1719963657751_c","item_1719961362824","item_1719963657751","item_1718247180324"]},"languagenavigation":{"id":"language-navigation-2e99e91c20","languageNavItems":[{"title":"English","path":"/en/","locale":"en","active":false},{"title":"日本語","path":"/ja/developers/guides/sfguide-build-end-to-end-ai-app-on-snowflake-ja/","locale":"ja","active":true},{"title":"한국어","path":"/ko/","locale":"ko","active":false},{"title":"中文（简体）","path":"/zh_cn/","locale":"zh-cn","active":false},{"title":"Português","path":"/pt_br/","locale":"pt-br","active":false},{"title":"Deutsch","path":"/de/","locale":"de","active":false},{"title":"Français","path":"/fr/","locale":"fr","active":false},{"title":"Español","path":"/es/","locale":"es","active":false},{"title":"Italiano","path":"/it/","locale":"it","active":false}],":type":"snowflake-site/components/nav/language-navigation"},"button":{"id":"button-f28915466e","heapButtonClasses":["contact_nav","heap-nav-contact"],"showOutboundIcon":true,"buttonLink":{"valid":true,"url":"/ja/contact-sales/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-secondary snowflake-button-blue snowflake-button-compact","linkType":"SNOWFLAKE_INTERNAL","text":"営業部門に問い合わせる"},"button_288358396":{"id":"button-4c636b3682","heapButtonClasses":["start_for_free_nav","heap-nav-start-for-free"],"showOutboundIcon":true,"buttonLink":{"valid":true,"url":"https://signup.snowflake.com/?_l=ja"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-primary snowflake-button-blue snowflake-button-compact","linkType":"SNOWFLAKE_EXTERNAL","text":"無料で開始"}},":itemsOrder":["nav_mega","languagenavigation","button","button_288358396"],"appliedCssClassNames":"snowflake-header-container white"}},":itemsOrder":["markup_editor","mega_header"]}},":itemsOrder":["root"]},"markup_editor_1950346551":{"id":"markup-editor-c2bed7a032","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":{"columnCount":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"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12",":items":{"quickstart_hero":{"id":"quickstart-hero-1cbe53e635","fragmentPath":"/content/dam/snowflake-site/ja/content-fragments/quickstarts/sfguide-build-end-to-end-ai-app-on-snowflake-ja",":type":"snowflake-site/components/quickstart/quickstart-hero","quickstartHeroFirstCertifiedTag":{"tagText":"Quickstart","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/solution-center/certification/quickstart","tagIcon":""},"isDeveloperGuidesPage":false,"quickstartHeroTitle":{"lines":["Snowflake上でCoCoを使ったエンドツーエンドアプリケーションの構築"],"type":"heading2",":type":"snowflake-site/components/title-v2"},"quickstartHeroAuthor":"Ryusuke Niki, Dash Desai","quickstartHeroForkRepoLink":{"id":"button-6f024e0ff4","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://github.com/Snowflake-Labs/sfquickstarts/tree/master/site/sfguides/src/sfguide-build-end-to-end-ai-app-on-snowflake-ja"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Fork Repo"},"quickstartHeroBreadcrumbs":[{"title":"Snowflake上でCoCoを使ったエンドツーエンドアプリケーションの構築","url":"https://www.snowflake.com/content/snowflake-site/global/ja/developers/guides/sfguide-build-end-to-end-ai-app-on-snowflake-ja","currentPage":true},{"title":"開発者ガイド","url":"https://www.snowflake.com/content/snowflake-site/global/ja/developers/guides","currentPage":false},{"title":"Snowflake for Developers","url":"https://www.snowflake.com/content/snowflake-site/global/ja/developers","currentPage":false}]},"flexible_column_cont":{"id":"flexible-column-container-3c015c1ca9","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-eff450ddf6",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"contentfragment":{"id":"contentfragment-e8a7bf9cb2","paragraphs":["<!-- ------------------------ -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003Eこのハンズオンラボでは、Snowflake内で完全なAI搭載リテール分析プラットフォームを構築します。外部インフラは一切不要です。Snowflake CoCoをAI支援開発環境として使用し、データライフサイクル全体を通して作業します：Snowpipe Streamingによるリアルタイムオーダーのストリーミング、Gen2 Warehouseを使用した本番テーブルへのMERGE、3層Dynamic Tablesパイプラインによる変換、低レイテンシのポイントルックアップのためのInteractive Tablesによるサービング。\u003C/p\u003E\n","\u003Cp\u003Edbtによる分析モデルの構築、Data Metric Functionsによるデータ品質の監視、再利用可能なワークフロー用のカスタムCoCoスキルの作成を行います。最後に、Snowflake CoWork — Cortex AgentがCortex AnalystとAgentic Searchを連携させて、構造化データと非構造化データの両方から「何が起きたか」と「なぜ」に答える会話型AIインターフェースですべてを統合します。さらに、グラウンドトゥルースデータセットによるエージェント評価、行レベルセキュリティの実装、外部AIクライアント向けのマネージドMCPサーバーとしてエージェントを公開します。\u003C/p\u003E\n","\u003Ch3\u003E学習内容\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowflake CoCo（AI支援SQL、デプロイ、データ探索）による開発の加速\u003C/li\u003E\u003Cli\u003ESnowpipe StreamingとDynamic Tablesによるリアルタイムデータのストリーミングと変換\u003C/li\u003E\u003Cli\u003EInteractive TablesとGen2 Warehousesによる低レイテンシクエリのサービング\u003C/li\u003E\u003Cli\u003Edbtによる分析モデルの構築\u003C/li\u003E\u003Cli\u003EData Metric Functionsによるデータ品質の自動監視\u003C/li\u003E\u003Cli\u003EマネージドIceberg V3テーブルの作成とクエリ（削除ベクトル、行リネージ）（オプション）\u003C/li\u003E\u003Cli\u003E再利用可能なチームワークフロー用のカスタムCoCoスキルの作成\u003C/li\u003E\u003Cli\u003ECortex Agent（セマンティックビュー＋検証済みクエリによるCortex Analyst）とAgentic Search（マルチインデックスCortex Search）の構築\u003C/li\u003E\u003Cli\u003EグラウンドトゥルースデータセットとLLMジャッジによるエージェント品質の評価\u003C/li\u003E\u003Cli\u003E外部AIクライアント向けマネージドMCPサーバーとしてのエージェント公開\u003C/li\u003E\u003Cli\u003ERow Access Policiesによる透過的な行レベルセキュリティの実装\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E構築するもの\u003C/h3\u003E\n","\u003Cp\u003ESnowflake上のプロダクショングレードAI搭載リテール分析プラットフォーム — 生データから会話型AIインサイトまで、単一プラットフォーム内で完結します。動的変換パイプライン、インタラクティブ低レイテンシテーブル、dbt分析モデル、構造化・非構造化データにまたがる質問に回答するCortex Agent、AIを通じて透過的に動作する行レベルセキュリティ、外部クライアントにエージェントを公開するMCPサーバーを構築します。\u003C/p\u003E\n","\u003Ch3\u003E前提条件\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003ESnowflakeアカウント\u003C/a\u003Eへのアクセス\u003C/li\u003E\u003Cli\u003EローカルにPython 3.8+がインストールされていること\u003C/li\u003E\u003Cli\u003EローカルにGitがインストールされていること\u003C/li\u003E\u003Cli\u003ESQLとコマンドラインツールの基本的な知識\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Eセットアップ\u003C/h2\u003E\n","\u003Ch3\u003ESnowflake CLIのインストール\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI（\u003Ccode\u003Esnow\u003C/code\u003E）を使用すると、ターミナルからSQL実行、アプリのデプロイ、Snowflakeオブジェクトの管理が可能です。\u003C/p\u003E\n","\u003Cp\u003EmacOS（Homebrewを使用）：\u003C/p\u003E\n","\u003Cp\u003EHomebrewがまだインストールされていない場合は、ターミナルを開いて以下を実行します：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E次にSnowflake CLIをインストールします：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Ebrew install snowflake-cli\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EWindows：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Epip install snowflake-cli\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ELinux：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Epip install snowflake-cli\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Eインストールを確認します：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Esnow --version\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ccode\u003ESnowflake CLI version: 3.x.x\u003C/code\u003E のような出力が表示されるはずです。\u003C/p\u003E\n","\u003Ch3\u003ESnowflake CoCoのインストール\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CoCoは、ターミナルで動作するAI搭載コーディングアシスタントです。自然言語プロンプトを使用して、SQL作成、パイプライン構築、アプリのデプロイ、データ探索を支援します。\u003C/p\u003E\n","\u003Cp\u003EmacOSおよびLinux：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Ecurl -LsS https://ai.snowflake.com/static/cc-scripts/install.sh | sh\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EWindows（PowerShell）：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Eirm https://ai.snowflake.com/static/cc-scripts/install.ps1 | iex\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Eインストールを確認します：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Ecortex --version\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003E代替手段：Snowflake CoCo Desktop（プレビュー）\u003C/h3\u003E\n","\u003Cp\u003EビジュアルIDE体験を好む場合は、CLIの代わりに（または併用して）\u003Ca href=\"https://www.snowflake.com/en/product/limited-access/cortex-code/\"\u003ECoCo Desktop\u003C/a\u003Eをダウンロードしてください。ファイルエディター、統合ターミナル、エージェントブラウザ、同じAI機能を備えたネイティブMac/Windowsアプリです。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003ECoCo Desktopは現在、すべてのアカウントで利用可能な\u003Ca href=\"https://docs.snowflake.com/release-notes/preview-features\"\u003Eプレビュー機能\u003C/a\u003Eです。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E初回起動時は、オンボーディングウィザードに従います：\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EWelcomeスクリーンで「Next」をクリック\u003C/li\u003E\u003Cli\u003E接続を追加（上記と同じアカウント識別子と認証情報を使用）するか、\u003Ccode\u003Econnections.toml\u003C/code\u003Eから検出された既存のものを選択\u003C/li\u003E\u003Cli\u003EAgentモードを選択\u003C/li\u003E\u003Cli\u003Eテーマを選択し、「Get Started」をクリック\u003C/li\u003E\u003C/ol\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Eヒント：\u003Ccode\u003Esnow connection add\u003C/code\u003E（以下）で既に接続を設定している場合、CoCo Desktopは自動的に検出します — リストから選択するだけです。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E詳細は\u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-desktop/index\"\u003ECoCo Desktopドキュメント\u003C/a\u003Eをご覧ください。\u003C/p\u003E\n","\u003Ch3\u003ESnowflake接続の設定\u003C/h3\u003E\n","\u003Cp\u003ESnowflakeに対してコマンドを実行する前に、接続の設定が必要です。これにより、CLIがどのSnowflakeアカウントに接続し、どのように認証するかを指定します。\u003C/p\u003E\n","\u003Cp\u003E対話型接続ウィザードを実行します：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Esnow connection add\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E以下の値の入力を求められます（1つずつ入力）：\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E項目\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E説明\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E例\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConnection name\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eこの接続の短い名前\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Ehol\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAccount identifier\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESnowflakeアカウントURL（.snowflakecomputing.comを除く）\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Emyorg-myaccount\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUser\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESnowflakeユーザー名\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Ejsmith\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPassword\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESnowflakeパスワード\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E(非表示)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERole\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EACCOUNTADMIN\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EACCOUNTADMIN\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWarehouse\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E空白のまま（セットアップで作成されます）\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E(空白)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDatabase\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E空白のまま（セットアップで作成されます）\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E(空白)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Eヒント：アカウント識別子は、SnowflakeのURLで\u003Ccode\u003E.snowflakecomputing.com\u003C/code\u003Eの前の部分です。例えば、\u003Ccode\u003Ehttps://myorg-myaccount.snowflakecomputing.com\u003C/code\u003Eでログインする場合、アカウント識別子は\u003Ccode\u003Emyorg-myaccount\u003C/code\u003Eです。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E接続をテストします：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Esnow connection test -c hol\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ccode\u003EStatus: OK\u003C/code\u003E と表示されるはずです。\u003C/p\u003E\n","\u003Ch3\u003Eラボリポジトリのクローン\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003Egit clone https://github.com/Snowflake-Labs/automated-intelligence-dev-day-2026-hol.git\ncd automated-intelligence-dev-day-2026-hol\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003Eインフラストラクチャセットアップの実行\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CoCoを起動して接続を確認します：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Ecortex\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E期待される動作：CoCoはターミナルで対話セッションを開始します。アクティブな接続、ロール、ウェアハウスが表示されます。自然言語プロンプトを入力すると、CoCoがSQLやアクションに変換します。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E次に、コアインフラストラクチャスクリプトを実行します（約10-15分かかります）：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Esnow sql -f setup.sql -c hol\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Eこれにより、データベース、スキーマ、ウェアハウス、テーブル、Dynamic Tablesパイプライン、Interactive Tables、Cortex Search Services、セマンティックビュー、シードデータ（1,000万注文、2,500万注文アイテム、200万顧客）、Row Access Policyが作成されます。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003ECoCo Desktopをご使用の場合：以下の「CoCoにプロンプト」の指示は、CLIとDesktopの両方で同じように動作します — チャット入力に同じテキストを入力してください。ターミナルコマンドとして\u003Ccode\u003Ecortex\u003C/code\u003Eが表示される箇所では、Desktopの組み込みターミナルまたはチャットを使用してください。\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Eデータの探索\u003C/h2\u003E\n","\u003Cp\u003Eセットアップが完了したので、作成されたものを確認しましょう。CoCoとの最初のインタラクションです — データについて自然言語で質問してみてください。\u003C/p\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「データベースにはどんなスキーマとテーブルがありますか？」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが\u003Ccode\u003EINFORMATION_SCHEMA\u003C/code\u003Eをクエリし、データベース構造を表示します：RAW（ソーステーブル＋ビュー）、STAGING（ストリーミングランディングゾーン）、DYNAMIC_TABLES（パイプライン）、INTERACTIVE（低レイテンシ）、SEMANTIC（AIレイヤー）。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「ordersテーブルから5行サンプルを見せてください」\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「注文数、顧客数、製品数はいくつですか？」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E期待される結果：約1,000万注文、約2,500万注文アイテム、200万顧客、10製品、1,200レビュー、1,200サポートチケット。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「注文データの日付範囲は？」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E期待される結果：2025年6月から2025年9月。\u003C/p\u003E\n","\u003Cp\u003Eこれにより、変換と分析を開始する前にデータセットのメンタルモデルが形成されます。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Eデータ品質\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-quality-intro\"\u003EData Metric Functions (DMFs)\u003C/a\u003Eを使用すると、テーブルの列に直接自動品質チェックを付加できます。Snowflakeはスケジュールに従ってそれらを実行し、結果を\u003Ccode\u003ESNOWFLAKE.LOCAL.DATA_QUALITY_MONITORING_RESULTS\u003C/code\u003Eに保存します。組み込みDMFには\u003Ccode\u003ENULL_COUNT\u003C/code\u003E、\u003Ccode\u003EDUPLICATE_COUNT\u003C/code\u003E、\u003Ccode\u003EUNIQUE_COUNT\u003C/code\u003E、\u003Ccode\u003EFRESHNESS\u003C/code\u003Eが含まれます。カスタムDMFも作成可能です。\u003C/p\u003E\n","\u003Cp\u003Eセットアップスクリプトは\u003Ccode\u003Eorders.total_amount\u003C/code\u003Eと\u003Ccode\u003Eorder_items.quantity\u003C/code\u003Eに約200のNULL値、\u003Ccode\u003Eorder_items.product_name\u003C/code\u003Eに約150のNULL値を注入しました。DMFは最初の2つを検出しますが、ギャップがあります。\u003C/p\u003E\n","\u003Ch3\u003Eギャップの発見\u003C/h3\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「データ品質モニタリングの結果を確認して、どの列にNULL違反があるか見せてください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが\u003Ccode\u003ETOTAL_AMOUNT\u003C/code\u003E（200 NULLs）と\u003Ccode\u003EQUANTITY\u003C/code\u003E（200 NULLs）に違反があることを表示しますが、\u003Ccode\u003Eproduct_name\u003C/code\u003EのNULLは検出されていません。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「order_items.product_nameにNULL値はありますか？その列は監視されていますか？」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが約150のNULLを見つけ、DMFが\u003Ccode\u003Eproduct_name\u003C/code\u003Eではなく\u003Ccode\u003Eproduct_category\u003C/code\u003Eに誤って付加されていることを明らかにします。\u003C/p\u003E\n","\u003Ch3\u003Eカバレッジの修正\u003C/h3\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「DMFを修正してください — product_categoryからNULLチェックを削除し、代わりにproduct_nameに追加してください」\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER TABLE order_items DROP DATA METRIC FUNCTION SNOWFLAKE.CORE.NULL_COUNT ON (product_category);\nALTER TABLE order_items ADD DATA METRIC FUNCTION SNOWFLAKE.CORE.NULL_COUNT ON (product_name);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Eこれは実際のワークフローを示しています：監視、ギャップの発見、カバレッジの修正。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EDynamic Tablesパイプライン\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/dynamic-tables-about\"\u003EDynamic Tables\u003C/a\u003Eは宣言的データパイプラインです — ターゲット状態をSQLクエリとして定義すると、Snowflakeが自動的にインクリメンタルリフレッシュを処理します。\u003Ccode\u003ETARGET_LAG\u003C/code\u003Eパラメータで鮮度を制御します：Tier 1テーブルには時間ベースのラグ（例：\u003Ccode\u003E1 minute\u003C/code\u003E）を設定し、Tier 2以降には\u003Ccode\u003EDOWNSTREAM\u003C/code\u003Eを使用して上流ソースが変更された場合にのみリフレッシュします。\u003C/p\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「Dynamic Tablesパイプラインのステータスを見せてください — 各ティアの名前、ターゲットラグ、最終リフレッシュ時刻、行数」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが3層パイプラインを表示します：\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ETier 1（1分ラグ）：\u003Ccode\u003Eenriched_orders\u003C/code\u003E（1,000万行）、\u003Ccode\u003Eenriched_order_items\u003C/code\u003E（2,500万行）\u003C/li\u003E\u003Cli\u003ETier 2（DOWNSTREAM）：\u003Ccode\u003Efact_orders\u003C/code\u003E（2,500万行）\u003C/li\u003E\u003Cli\u003ETier 3（DOWNSTREAM）：\u003Ccode\u003Edaily_business_metrics\u003C/code\u003E（118行）、\u003Ccode\u003Eproduct_performance_metrics\u003C/code\u003E（4行）\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E注意：表示される行数はデフォルトの\u003Ccode\u003Edata_scale = '10M'\u003C/code\u003Eのものです。\u003Ccode\u003Esetup.sql\u003C/code\u003Eで\u003Ccode\u003E'50M'\u003C/code\u003Eを選択した場合、約5,000万enriched_orders、約1.61億order_items、365日分のメトリクスが予想されます。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003E結果の探索\u003C/h3\u003E\n","\u003Cp\u003ECoCoに質問：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「日次ビジネスメトリクスのサンプルを見せてください — 収益上位5日」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E期待される結果：上位5日は2025年9月（新学期のピーク）で、各日約$183Mの収益と約117K注文。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Edbtアナリティクス\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-engineering/dbt-projects-on-snowflake\"\u003Edbt-snowflake\u003C/a\u003Eは、SQL SELECTステートメントを使用して生データを分析可能なモデルに変換します。dbt-snowflakeアダプターはSnowflakeとネイティブに統合され、インクリメンタルモデル、スナップショット、組み込みテストをサポートします。このHOLでは、dbtが顧客生涯価値、セグメンテーション、製品パフォーマンス、サポート分析のためのステージングビューとマートテーブルを作成します。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E前提条件：\u003Ccode\u003Edbt-core\u003C/code\u003Eと\u003Ccode\u003Edbt-snowflake\u003C/code\u003Eがインストールされている必要があります（\u003Ccode\u003Epip install dbt-snowflake\u003C/code\u003E）。CoCoがまだインストールされていない場合は自動的に処理します。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「dbt-analyticsプロジェクトのdbt依存関係をインストールし、すべてのモデルをビルドしてください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが\u003Ccode\u003Edbt deps\u003C/code\u003Eを実行し、次に\u003Ccode\u003Edbt build\u003C/code\u003Eですべてのステージングビューとマートテーブル（9以上のモデル）を作成します。CoCoはアクティブなSnowflake接続をdbtプロファイルに自動的に注入します — 手動設定は不要です。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E期待される出力：71テストがパス、1つの警告（\u003Ccode\u003Esource_not_null_raw_orders_total_amount\u003C/code\u003EテストがData Quality演習で注入した200のNULLを検出 — これは設計通りの動作です）。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003E結果の探索\u003C/h3\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「顧客生涯価値セグメントを見せてください — 各価値ティアに何人の顧客がいますか？」\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EGen2 Warehouse：Optima Indexing\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/warehouses-gen2\"\u003EGen2 Warehouses\u003C/a\u003EはOptima Indexingを導入します — 明示的なクラスタリングキーなしにクエリ時にパーティションをプルーニングする自動インデックスレイヤーです。Gen2ウェアハウスはクエリパターンから学習し、ポイントルックアップやフィルタスキャンを高速化する内部インデックスを構築します。\u003C/p\u003E\n","\u003Cp\u003EOptima Indexingの動作を実証します：\u003C/p\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「Gen2ウェアハウスでcustomer_id 5000のポイントルックアップを実行してください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ESnowsightでクエリプロファイルを開き、パーティションプルーニングを確認してください — 明示的なクラスタリングキーがないにもかかわらず、スキャンされるパーティションはごく一部です。これがGen2のOptima Indexingの動作です。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EInteractive Tables\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/interactive\"\u003EInteractive Tables\u003C/a\u003Eは、低レイテンシ・高並行性のポイントルックアップ専用に構築されています。等価述語に最適化されたクラスタリングで事前計算結果を維持し、ダッシュボードフィルターやフルテーブルスキャンが必要なアプリケーションクエリにサブ秒のレスポンス時間を提供します。\u003C/p\u003E\n","\u003Ch3\u003Eポイントルックアップ\u003C/h3\u003E\n","\u003Cp\u003ESnowsightでクエリを実行し、サブ秒のレイテンシを観察します：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE WAREHOUSE hol_interactive_wh;\nALTER SESSION SET USE_CACHED_RESULT = FALSE;\n\n-- 顧客IDによるポイントルックアップ\nSELECT * FROM dash_automated_intelligence_db.interactive.customer_order_analytics\nWHERE customer_id = 1;\n\n-- 注文IDによるポイントルックアップ\n-- 実行: SELECT order_id FROM dash_automated_intelligence_db.interactive.order_lookup LIMIT 5; でUUIDを取得\nSELECT * FROM dash_automated_intelligence_db.interactive.order_lookup\nWHERE order_id = '<any-order-uuid>';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003E並行負荷テスト\u003C/h3\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「interactive/load_test.pyでInteractive Tablesの負荷テストを実行してください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E200並行セッション（合計1000クエリ）をInteractiveとStandardの両方のウェアハウスに対して実行し、P50/P90/P99レイテンシを比較します。Interactiveウェアハウスで顕著に低いレイテンシと高いスループットが見られるはずです。\u003C/p\u003E\n","\u003Cp\u003Eウォームキャッシュの効果を観察するため、負荷テストをもう一度実行してみてください。結果はアカウント、リージョン、データスケールによって異なる場合があります。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECoCoカスタムスキル\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/extensibility#skills\"\u003ECoCoカスタムスキル\u003C/a\u003Eを使用すると、繰り返し可能なワークフローを名前付きコマンドにパッケージ化し、チームメンバーが呼び出せるようにできます。スキルはMarkdownファイル（\u003Ccode\u003E.cortex/skills/<name>/SKILL.md\u003C/code\u003E）で、トリガー、パラメータ、CoCoがスキル起動時に従うステップバイステップの指示を定義します。\u003C/p\u003E\n","\u003Cp\u003Eテーブルプロファイリングを自動化する再利用可能なスキルを作成します：\u003C/p\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「テーブル名を受け取り、行数をカウントし、NULL列をチェックし、ユニーク値数を表示し、潜在的なデータ品質問題をフラグする'profile-table'というカスタムCoCoスキルを作成してください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが\u003Ccode\u003E.cortex/skills/profile-table/SKILL.md\u003C/code\u003Eにスキル定義、トリガー、ステップバイステップの指示を作成します。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E注意：スキル作成後、新しいスキルを有効にするにはCoCoセッションを再起動してください。CLI：\u003Ccode\u003E/quit\u003C/code\u003Eを入力してから\u003Ccode\u003Ecortex\u003C/code\u003E。Desktop：サイドバーから新しいセッションを開きます。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003Eテスト\u003C/h3\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「$profile-table DASH_AUTOMATED_INTELLIGENCE_DB.RAW.ORDERS」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003Eチームが再利用可能なワークフローを共有可能なCoCoスキルとしてパッケージ化する方法を実証しています。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ESnowflake CoWork\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents\"\u003ECortex Agents\u003C/a\u003Eは、質問を適切なデータソースにルーティングするマルチツールAIオーケストレーターです。\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-analyst\"\u003ECortex Analyst\u003C/a\u003E（\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-semantic-view\"\u003Eセマンティックビュー\u003C/a\u003Eを介したtext-to-SQL）と\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-search/cortex-search-overview\"\u003ECortex Search\u003C/a\u003E（非構造化データに対するベクトル＋キーワード検索）を組み合わせ、単一の会話インターフェースから「何が起きたか」と「なぜ」の両方に回答します。\u003C/p\u003E\n","\u003Ch3\u003Eエージェントの作成\u003C/h3\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「snowflake-cowork/create_agent.sqlを実行してBusiness Insights Agentを作成してください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003Eエージェントルーティングのテスト\u003C/h3\u003E\n","\u003Cp\u003ESnowsightでSnowflake CoWorkインターフェースを開きます：AI & ML → CoWork に移動（またはグローバル検索バーで「CoWork」を検索）。\u003Ccode\u003EBUSINESS_INSIGHTS_AGENT\u003C/code\u003Eエージェントを選択します。各質問を試して、異なるツールルーティングを実証します：\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E質問\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003Eルーティング先\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E「2025年6月から9月の月次収益トレンドを見せてください」\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECortex Analyst (text-to-SQL)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E「どの月が最も収益が低く、その時期の顧客レビューは何と言っていますか？」\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECortex Analyst + Agentic Search\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E「サイズ間違いに言及しているレビューで評価3未満のものを見つけてください」\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAgentic Search (フィルタ付き)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E「なぜ顧客がスキーブーツを返品しているのですか？」\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAgentic Search (レビュー＋チケット)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E「州別の総収益と顧客数は？」\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECortex Analyst (text-to-SQL)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E「サポートチケットの上位苦情テーマは何ですか？」\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAgentic Search (フィルタ + AI_AGG)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E「サイズの問題に言及しているレビューは何件で、最も影響を受けている製品は？」\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAgentic Search (検索＋ブレークダウン)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003Eこれがクライマックスです — エージェントが構造化データ（text-to-SQL）と非構造化データ（Cortex Search）にまたがってルーティングし、「何が起きたか」と「なぜ」に回答します。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Eセキュリティとガバナンス\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/security-row-intro\"\u003ERow Access Policies\u003C/a\u003Eは宣言的に行レベルセキュリティを施行します — どの行がどのロールに表示されるかを決定するブール式を定義すると、Snowflakeがすべてのクエリ（AIエージェントが生成したものを含む）に透過的に適用します。アプリケーションコードの変更は不要です。\u003C/p\u003E\n","\u003Cp\u003ERow Access PolicyとWEST_COAST_MANAGERロールは\u003Ccode\u003Esetup.sql\u003C/code\u003Eで作成済みです。ロールに基づいて行レベルセキュリティがデータを透過的にフィルタリングする方法を実証します：\u003C/p\u003E\n","\u003Cp\u003EACCOUNTADMIN（フルアクセス）として：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE ACCOUNTADMIN;\nUSE WAREHOUSE HOL_WH;\nSELECT c.state, SUM(o.total_amount) AS total_revenue, COUNT(DISTINCT c.customer_id) AS customer_count\nFROM dash_automated_intelligence_db.raw.orders o\nJOIN dash_automated_intelligence_db.raw.customers c ON o.customer_id = c.customer_id\nGROUP BY c.state ORDER BY total_revenue DESC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E結果：全10州が表示されます。\u003C/p\u003E\n","\u003Cp\u003EWEST_COAST_MANAGER（制限付き）として：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE WEST_COAST_MANAGER;\nUSE WAREHOUSE HOL_WH;\nSELECT c.state, SUM(o.total_amount) AS total_revenue, COUNT(DISTINCT c.customer_id) AS customer_count\nFROM dash_automated_intelligence_db.raw.orders o\nJOIN dash_automated_intelligence_db.raw.customers c ON o.customer_id = c.customer_id\nGROUP BY c.state ORDER BY total_revenue DESC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E結果：CA、OR、WAのみが表示されます — Row Access Policyが透過的にデータをフィルタリングします。\u003C/p\u003E\n","\u003Cp\u003E重要なポイント：同じクエリ、同じテーブル — 誰が質問しているかによって異なる結果。行レベルセキュリティは、アプリケーションロジックを変更せずにデータ境界を施行します。\u003C/p\u003E\n","\u003Ch3\u003ECoWorkを通じた検証\u003C/h3\u003E\n","\u003Cp\u003ESnowsightで WEST_COAST_MANAGER ロールに切り替え、CoWorkを開いてエージェントに質問します：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「州別の総収益と顧客数は？」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EエージェントはCA、OR、WAのみの結果を返します — Row Access PolicyはAI生成SQLを通じても透過的にデータをフィルタリングします。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EStreamlitダッシュボード\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/about-streamlit\"\u003EStreamlit in Snowflake\u003C/a\u003Eを使用すると、Snowflakeアカウント内で直接インタラクティブなデータアプリケーションを構築・デプロイできます — 外部インフラは不要です。アプリはSnowflake内で安全に実行され、データへのネイティブアクセスと同じロールベースのアクセス制御が適用されます。\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E前提条件：dbtモデルが先にビルドされている必要があります（dbtアナリティクスセクション参照）。ダッシュボードは\u003Ccode\u003EDBT_ANALYTICS\u003C/code\u003Eと\u003Ccode\u003EDBT_STAGING\u003C/code\u003Eテーブルをクエリします。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「StreamlitダッシュボードをSnowflakeにデプロイしてください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが\u003Ccode\u003Estreamlit-dashboard/\u003C/code\u003Eディレクトリから\u003Ccode\u003Esnow streamlit deploy\u003C/code\u003Eを実行します。デプロイ後、SnowsightでアプリURLを開いて探索します：\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003Eサマリー — 収益KPI、注文トレンド、顧客数\u003C/li\u003E\u003Cli\u003E顧客＆製品アナリティクス — 生涯価値セグメント、製品パフォーマンス\u003C/li\u003E\u003Cli\u003Eパイプラインヘルス — Dynamic Tablesリフレッシュステータス、データ鮮度監視\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Eエージェント評価\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents#evaluating-agents\"\u003Eエージェント評価\u003C/a\u003Eを使用すると、グラウンドトゥルースデータセットとLLM-as-judgeスコアリングでエージェント品質を測定できます。入力クエリと期待される回答を定義し、Snowflakeが各質問に対してエージェントを実行し、回答の正確性（レスポンスがグラウンドトゥルースと一致するか？）と論理的一貫性（推論ステップが内部的に一貫しているか？）でスコアリングします。\u003C/p\u003E\n","\u003Cp\u003E評価データセット（7問＋グラウンドトゥルース）は\u003Ccode\u003Esetup.sql\u003C/code\u003Eで作成済みです。Snowsightで評価を実行します：\u003C/p\u003E\n","\u003Ch3\u003ESnowsight UIで実行\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003ESnowsightで ACCOUNTADMINロールに切り替え（左上のロールセレクター）\u003C/li\u003E\u003Cli\u003EAI and ML > Agents > BUSINESS_INSIGHTS_AGENT > Evaluationsタブに移動\u003C/li\u003E\u003Cli\u003E「New evaluation run」をクリック、名前を付け（例：\u003Ccode\u003Ehol-eval-run-1\u003C/code\u003E）、「Next」をクリック\u003C/li\u003E\u003Cli\u003E「Create new dataset from table」を選択\u003C/li\u003E\u003Cli\u003ESource tableで、Database and schemaを\u003Ccode\u003EDASH_AUTOMATED_INTELLIGENCE_DB.SEMANTIC\u003C/code\u003Eに設定し、\u003Ccode\u003EAGENT_EVALUATION_DATA\u003C/code\u003Eを選択\u003C/li\u003E\u003Cli\u003ENew dataset locationは\u003Ccode\u003EDASH_AUTOMATED_INTELLIGENCE_DB.SEMANTIC\u003C/code\u003Eのまま\u003C/li\u003E\u003Cli\u003EDataset name：\u003Ccode\u003Ehol_eval_dataset\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E「Next」をクリック\u003C/li\u003E\u003Cli\u003EDefine metricsで、Input query = \u003Ccode\u003EINPUT_QUERY\u003C/code\u003Eを確認\u003C/li\u003E\u003Cli\u003EAnswer Correctnessをオンにし、Expected answer = \u003Ccode\u003EGROUND_TRUTH\u003C/code\u003Eを設定\u003C/li\u003E\u003Cli\u003ELogical Consistencyをオンに\u003C/li\u003E\u003Cli\u003E「Create」をクリック — 評価が自動的に開始されます（約3分）\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003E結果の解釈\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EAnswer Correctness — エージェントのレスポンスがグラウンドトゥルースと一致したか？質問ごとに0-1でスコアリング。\u003C/li\u003E\u003Cli\u003ELogical Consistency — プランニングステップ、ツール呼び出し、レスポンスが内部的に一貫しているか？（参照不要）\u003C/li\u003E\u003Cli\u003E質問ごとのドリルダウン — 任意の行を選択して完全なスレッドを表示：プランニング、ツール呼び出し、レスポンス生成。\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003Eスコアの改善（応用）\u003C/h3\u003E\n","\u003Cp\u003E論理的一貫性で低スコアの質問がある場合：\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E低スコアの行をクリックし、Thread detailsを表示\u003C/li\u003E\u003Cli\u003EPlanningステップでのツール選択に関する曖昧な推論を探す\u003C/li\u003E\u003Cli\u003Eエージェントの指示をより明確に更新\u003C/li\u003E\u003Cli\u003Eエージェントを再作成し、評価を再実行\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EMCPサーバー\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents#managed-mcp-servers\"\u003ESnowflake MCPサーバー\u003C/a\u003Eは、Cortex Agents、セマンティックビュー、Search Servicesをオープンなモデルコンテキストプロトコル（MCP）で発見可能なツールとして公開します。MCP互換クライアント（CoCo CLI、Claude Desktop、カスタムアプリ）がサーバーエンドポイントに接続し、プログラム的にツールを呼び出せます — SnowflakeのAIスタックを再利用可能なサービスレイヤーにします。\u003C/p\u003E\n","\u003Cp\u003EBusiness Insights AgentをマネージドMCPサーバーとして公開します：\u003C/p\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「Business Insights Agent、セマンティックビュー、顧客フィードバック検索をツールとして公開するSnowflakeマネージドMCPサーバーを作成してください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoがMCPサーバーを作成します：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E注意：CoCoはプロンプトに基づいてツール名（\u003Ccode\u003Erevenue-analytics\u003C/code\u003E、\u003Ccode\u003Ecustomer-feedback-search\u003C/code\u003Eなど）を生成します。名前は異なる場合があります — 重要なのは\u003Ccode\u003Etype\u003C/code\u003Eと\u003Ccode\u003Eidentifier\u003C/code\u003Eが正しいオブジェクトを指していることです。\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE MCP SERVER business_insights_mcp\n  FROM SPECIFICATION $$\n    tools:\n      - name: "business-insights-agent"\n        type: "CORTEX_AGENT_RUN"\n        identifier: "DASH_AUTOMATED_INTELLIGENCE_DB.SEMANTIC.BUSINESS_INSIGHTS_AGENT"\n        description: "構造化データと顧客フィードバックを使用してビジネスの質問に回答するAIエージェント"\n        title: "Business Insights Agent"\n\n      - name: "revenue-analytics"\n        type: "CORTEX_ANALYST_MESSAGE"\n        identifier: "DASH_AUTOMATED_INTELLIGENCE_DB.SEMANTIC.BUSINESS_ANALYTICS_SEMANTIC"\n        description: "収益、注文、顧客、製品メトリクスのText-to-SQL"\n        title: "Revenue Analytics"\n\n      - name: "customer-feedback-search"\n        type: "CORTEX_SEARCH_SERVICE_QUERY"\n        identifier: "DASH_AUTOMATED_INTELLIGENCE_DB.RAW.CUSTOMER_FEEDBACK_SEARCH"\n        description: "製品レビューとサポートチケットの検索"\n        title: "Customer Feedback Search"\n  $$;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECoCoから接続\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003Ecortex mcp add business-insights https://<account_url>/api/v2/databases/DASH_AUTOMATED_INTELLIGENCE_DB/schemas/SEMANTIC/mcp-servers/BUSINESS-INSIGHTS-MCP --type http\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EDesktop：CoCo DesktopでMCPサーバーを追加するには、Settings → MCPに移動し、上記のエンドポイントURLで新しいHTTPサーバーを追加します。またはチャットで\u003Ccode\u003E/mcp\u003C/code\u003Eと入力します。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EこれでMCP互換クライアント（CoCo、Claude Desktop、カスタムアプリ）が標準MCPプロトコルでこれらのツールを発見・呼び出しできます。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Eオプション：Iceberg V3機能\u003C/h2\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E注意：このセクションはオプションです。CoCo生成SQLを使用してIceberg V3機能（削除ベクトル、デフォルト値）を実証します。他のセクションはこのセクションに依存していません。\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E注意：Iceberg V3機能は新しいAPIのため、CoCoが正しいSQLを生成するまでに数回の試行が必要な場合があります。「error executing SQL」が表示されたら、CoCoに再試行させてください — 自己修正して最終的に動作します。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EマネージドIcebergテーブルの作成\u003C/h3\u003E\n","\u003Cp\u003ECoCoにプロンプト：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「RAW.ORDERSから年月でクラスタリングしたマネージドIcebergテーブルを作成し、クエリしてパーティションプルーニングを見せてください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが\u003Ccode\u003ECATALOG='SNOWFLAKE'\u003C/code\u003E（外部ボリューム不要）でテーブルを作成し、フィルタクエリでパーティションプルーニングを実証します。\u003C/p\u003E\n","\u003Ch3\u003EV3を探索：削除ベクトル\u003C/h3\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「RAW.ORDERSからIceberg V3テーブル（ICEBERG_VERSION=3）をmerge-on-read有効で作成し、1000行を挿入してから10行を更新して削除ベクトルを実証してください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ECoCoが\u003Ccode\u003EENABLE_ICEBERG_MERGE_ON_READ = TRUE\u003C/code\u003EでV3テーブルを作成し、データを挿入し、完全なファイル書き換えの代わりに削除ベクトルを使用するUPDATEを実行します。\u003C/p\u003E\n","\u003Ch3\u003EV3を探索：デフォルト値\u003C/h3\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「V3テーブルにデフォルト値'STANDARD'で新しい列'priority'を追加し、バックフィルなしで既存の行がデフォルトを取得することを見せてください」\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003Eデータファイルを書き換えずにV3スキーマエボリューションを実証します。\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Eオプション：ストリーミング取り込み\u003C/h2\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E注意：このセクションはオプションです。\u003Ccode\u003Esetup.sql\u003C/code\u003Eスクリプトは既に5,000万注文すべてを直接ロードしています。このセクションでは、Snowpipe Streaming Python SDKを使用して本番環境でデータをストリーミングする方法を実証します。\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ERSA鍵ペアの生成\u003C/h3\u003E\n","\u003Cp\u003ESnowpipe Streaming認証用の鍵を生成します：\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003E# 秘密鍵の生成（暗号化なしPEM）\nopenssl genrsa 2048 | openssl pkcs8 -topk8 -inform PEM -out rsa_key.p8 -nocrypt\n\n# 公開鍵の生成\nopenssl rsa -in rsa_key.p8 -pubout -out rsa_key.pub\n\n# 公開鍵をSnowflakeユーザーにアップロード（<your-username>を置き換え）\nsnow sql -q "ALTER USER <your-username> SET RSA_PUBLIC_KEY='$(grep -v -- '-----' rsa_key.pub | tr -d '\\n')'" -c hol\n\n# 確認\nsnow sql -q "DESC USER <your-username>" -c hol | grep RSA_PUBLIC_KEY_FP\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003Eデータのストリーミング\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Ecd snowpipe-streaming-python\npip install -r requirements.txt\n\n# プロファイルのコピーと設定\ncp profile.json.template profile.json\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ccode\u003Eprofile.json\u003C/code\u003Eを編集し、\u003Ccode\u003Eaccount\u003C/code\u003E、\u003Ccode\u003Euser\u003C/code\u003E、\u003Ccode\u003Eprivate_key\u003C/code\u003E（rsa_key.p8の内容）、\u003Ccode\u003Erole\u003C/code\u003Eを設定します。\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003E# 10,000注文をストリーミング\npython src/automated_intelligence_streaming.py 10000\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003Eデータの着地確認\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT COUNT(*) FROM dash_automated_intelligence_db.staging.orders_staging;\nSELECT COUNT(*) FROM dash_automated_intelligence_db.staging.order_items_staging;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Eステージングに10,000注文と約50,000注文アイテムが見られるはずです。\u003C/p\u003E\n","\u003Ch3\u003E本番へのマージ\u003C/h3\u003E\n","\u003Cp\u003ECoCoを使用してストリームデータをマージします：\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E「Gen2ウェアハウスに切り替え、ステージングの行数を確認してから、RAWにマージして結果を見せてください」\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003Eまとめとリソース\u003C/h2\u003E\n","\u003Cp\u003Eおめでとうございます！ストリーミング取り込みから会話型AI、MCPサーバー公開まで、Snowflake上の完全なAI搭載リテール分析プラットフォームの構築に成功しました。\u003C/p\u003E\n","\u003Ch3\u003E学んだこと\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowpipe StreamingとGen2 Warehousesによるリアルタイムデータのストリーミングとマージ\u003C/li\u003E\u003Cli\u003EDynamic Tablesによるインクリメンタル変換パイプラインの構築\u003C/li\u003E\u003Cli\u003EInteractive Tablesによるサブ秒ポイントルックアップのサービング\u003C/li\u003E\u003Cli\u003E削除ベクトルとデフォルト値を持つIceberg V3テーブルの作成とクエリ\u003C/li\u003E\u003Cli\u003EData Metric Functionsによるデータ品質ギャップの監視と修正\u003C/li\u003E\u003Cli\u003ESnowflake上のdbt分析モデルの構築\u003C/li\u003E\u003Cli\u003E繰り返し可能なワークフロー用のカスタムCoCoスキルの作成\u003C/li\u003E\u003Cli\u003E構造化データ（Analyst）と非構造化データ（Search）にまたがるCortex Agentの構築\u003C/li\u003E\u003Cli\u003Eグラウンドトゥルースデータセットによるエージェント品質の評価\u003C/li\u003E\u003Cli\u003EAIエージェントを通じた透過的な行レベルセキュリティの実装\u003C/li\u003E\u003Cli\u003EマネージドMCPサーバーとしてのAI機能の公開\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E関連リソース\u003C/h3\u003E\n","\u003Cp\u003Eドキュメント：\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-load-snowpipe-streaming-overview\"\u003ESnowpipe Streaming SDK\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/dynamic-tables-about\"\u003EDynamic Tables\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/interactive\"\u003EInteractive Tables\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/warehouses-gen2\"\u003EGen2 Warehouses\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents\"\u003ECortex Agents\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-semantic-view\"\u003ESemantic Views\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-quality-intro\"\u003EData Metric Functions\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/security-row-intro\"\u003ERow Access Policies\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code\"\u003ESnowflake CoCo\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"description":"","title":"Snowflake上でCoCoを使ったエンドツーエンドアプリケーションの構築",":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview\n\nこのハンズオンラボでは、Snowflake内で完全なAI搭載リテール分析プラットフォームを構築します。外部インフラは一切不要です。Snowflake CoCoをAI支援開発環境として使用し、データライフサイクル全体を通して作業します：Snowpipe Streamingによるリアルタイムオーダーのストリーミング、Gen2 Warehouseを使用した本番テーブルへのMERGE、3層Dynamic Tablesパイプラインによる変換、低レイテンシのポイントルックアップのためのInteractive Tablesによるサービング。\n\ndbtによる分析モデルの構築、Data Metric Functionsによるデータ品質の監視、再利用可能なワークフロー用のカスタムCoCoスキルの作成を行います。最後に、Snowflake CoWork — Cortex AgentがCortex AnalystとAgentic Searchを連携させて、構造化データと非構造化データの両方から「何が起きたか」と「なぜ」に答える会話型AIインターフェースですべてを統合します。さらに、グラウンドトゥルースデータセットによるエージェント評価、行レベルセキュリティの実装、外部AIクライアント向けのマネージドMCPサーバーとしてエージェントを公開します。\n\n### 学習内容\n\n- Snowflake CoCo（AI支援SQL、デプロイ、データ探索）による開発の加速\n- Snowpipe StreamingとDynamic Tablesによるリアルタイムデータのストリーミングと変換\n- Interactive TablesとGen2 Warehousesによる低レイテンシクエリのサービング\n- dbtによる分析モデルの構築\n- Data Metric Functionsによるデータ品質の自動監視\n- マネージドIceberg V3テーブルの作成とクエリ（削除ベクトル、行リネージ）（オプション）\n- 再利用可能なチームワークフロー用のカスタムCoCoスキルの作成\n- Cortex Agent（セマンティックビュー＋検証済みクエリによるCortex Analyst）とAgentic Search（マルチインデックスCortex Search）の構築\n- グラウンドトゥルースデータセットとLLMジャッジによるエージェント品質の評価\n- 外部AIクライアント向けマネージドMCPサーバーとしてのエージェント公開\n- Row Access Policiesによる透過的な行レベルセキュリティの実装\n\n### 構築するもの\n\nSnowflake上のプロダクショングレードAI搭載リテール分析プラットフォーム — 生データから会話型AIインサイトまで、単一プラットフォーム内で完結します。動的変換パイプライン、インタラクティブ低レイテンシテーブル、dbt分析モデル、構造化・非構造化データにまたがる質問に回答するCortex Agent、AIを通じて透過的に動作する行レベルセキュリティ、外部クライアントにエージェントを公開するMCPサーバーを構築します。\n\n### 前提条件\n\n- [Snowflakeアカウント](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides)へのアクセス\n- ローカルにPython 3.8+がインストールされていること\n- ローカルにGitがインストールされていること\n- SQLとコマンドラインツールの基本的な知識\n\n\u003C!-- ------------------------ --\u003E\n## セットアップ\n\n### Snowflake CLIのインストール\n\nSnowflake CLI（`snow`）を使用すると、ターミナルからSQL実行、アプリのデプロイ、Snowflakeオブジェクトの管理が可能です。\n\nmacOS（Homebrewを使用）：\n\nHomebrewがまだインストールされていない場合は、ターミナルを開いて以下を実行します：\n\n```\n/bin/bash -c \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)\"\n```\n\n次にSnowflake CLIをインストールします：\n\n```\nbrew install snowflake-cli\n```\n\nWindows：\n\n```\npip install snowflake-cli\n```\n\nLinux：\n\n```\npip install snowflake-cli\n```\n\nインストールを確認します：\n\n```\nsnow --version\n```\n\n`Snowflake CLI version: 3.x.x` のような出力が表示されるはずです。\n\n### Snowflake CoCoのインストール\n\nSnowflake CoCoは、ターミナルで動作するAI搭載コーディングアシスタントです。自然言語プロンプトを使用して、SQL作成、パイプライン構築、アプリのデプロイ、データ探索を支援します。\n\nmacOSおよびLinux：\n\n```\ncurl -LsS https://ai.snowflake.com/static/cc-scripts/install.sh | sh\n```\n\nWindows（PowerShell）：\n\n```\nirm https://ai.snowflake.com/static/cc-scripts/install.ps1 | iex\n```\n\nインストールを確認します：\n\n```\ncortex --version\n```\n\n### 代替手段：Snowflake CoCo Desktop（プレビュー）\n\nビジュアルIDE体験を好む場合は、CLIの代わりに（または併用して）[CoCo Desktop](https://www.snowflake.com/en/product/limited-access/cortex-code/)をダウンロードしてください。ファイルエディター、統合ターミナル、エージェントブラウザ、同じAI機能を備えたネイティブMac/Windowsアプリです。\n\n\u003E CoCo Desktopは現在、すべてのアカウントで利用可能な[プレビュー機能](https://docs.snowflake.com/release-notes/preview-features)です。\n\n初回起動時は、オンボーディングウィザードに従います：\n\n1. Welcomeスクリーンで「Next」をクリック\n2. 接続を追加（上記と同じアカウント識別子と認証情報を使用）するか、`connections.toml`から検出された既存のものを選択\n3. Agentモードを選択\n4. テーマを選択し、「Get Started」をクリック\n\n\u003E ヒント：`snow connection add`（以下）で既に接続を設定している場合、CoCo Desktopは自動的に検出します — リストから選択するだけです。\n\n詳細は[CoCo Desktopドキュメント](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-desktop/index)をご覧ください。\n\n### Snowflake接続の設定\n\nSnowflakeに対してコマンドを実行する前に、接続の設定が必要です。これにより、CLIがどのSnowflakeアカウントに接続し、どのように認証するかを指定します。\n\n対話型接続ウィザードを実行します：\n\n```\nsnow connection add\n```\n\n以下の値の入力を求められます（1つずつ入力）：\n\n| 項目 | 説明 | 例 |\n|------|------|-----|\n| Connection name | この接続の短い名前 | hol |\n| Account identifier | SnowflakeアカウントURL（.snowflakecomputing.comを除く） | myorg-myaccount |\n| User | Snowflakeユーザー名 | jsmith |\n| Password | Snowflakeパスワード | (非表示) |\n| Role | ACCOUNTADMIN | ACCOUNTADMIN |\n| Warehouse | 空白のまま（セットアップで作成されます） | (空白) |\n| Database | 空白のまま（セットアップで作成されます） | (空白) |\n\n\u003E ヒント：アカウント識別子は、SnowflakeのURLで`.snowflakecomputing.com`の前の部分です。例えば、`https://myorg-myaccount.snowflakecomputing.com`でログインする場合、アカウント識別子は`myorg-myaccount`です。\n\n接続をテストします：\n\n```\nsnow connection test -c hol\n```\n\n`Status: OK` と表示されるはずです。\n\n### ラボリポジトリのクローン\n\n```\ngit clone https://github.com/Snowflake-Labs/automated-intelligence-dev-day-2026-hol.git\ncd automated-intelligence-dev-day-2026-hol\n```\n\n### インフラストラクチャセットアップの実行\n\nSnowflake CoCoを起動して接続を確認します：\n\n```\ncortex\n```\n\n\u003E 期待される動作：CoCoはターミナルで対話セッションを開始します。アクティブな接続、ロール、ウェアハウスが表示されます。自然言語プロンプトを入力すると、CoCoがSQLやアクションに変換します。\n\n次に、コアインフラストラクチャスクリプトを実行します（約10-15分かかります）：\n\n```\nsnow sql -f setup.sql -c hol\n```\n\nこれにより、データベース、スキーマ、ウェアハウス、テーブル、Dynamic Tablesパイプライン、Interactive Tables、Cortex Search Services、セマンティックビュー、シードデータ（1,000万注文、2,500万注文アイテム、200万顧客）、Row Access Policyが作成されます。\n\n\u003E CoCo Desktopをご使用の場合：以下の「CoCoにプロンプト」の指示は、CLIとDesktopの両方で同じように動作します — チャット入力に同じテキストを入力してください。ターミナルコマンドとして`cortex`が表示される箇所では、Desktopの組み込みターミナルまたはチャットを使用してください。\n\n\u003C!-- ------------------------ --\u003E\n## データの探索\n\nセットアップが完了したので、作成されたものを確認しましょう。CoCoとの最初のインタラクションです — データについて自然言語で質問してみてください。\n\nCoCoにプロンプト：\n\n\u003E 「データベースにはどんなスキーマとテーブルがありますか？」\n\nCoCoが`INFORMATION_SCHEMA`をクエリし、データベース構造を表示します：RAW（ソーステーブル＋ビュー）、STAGING（ストリーミングランディングゾーン）、DYNAMIC_TABLES（パイプライン）、INTERACTIVE（低レイテンシ）、SEMANTIC（AIレイヤー）。\n\n\u003E 「ordersテーブルから5行サンプルを見せてください」\n\n\u003E 「注文数、顧客数、製品数はいくつですか？」\n\n期待される結果：約1,000万注文、約2,500万注文アイテム、200万顧客、10製品、1,200レビュー、1,200サポートチケット。\n\n\u003E 「注文データの日付範囲は？」\n\n期待される結果：2025年6月から2025年9月。\n\nこれにより、変換と分析を開始する前にデータセットのメンタルモデルが形成されます。\n\n\u003C!-- ------------------------ --\u003E\n## データ品質\n\n[Data Metric Functions (DMFs)](https://docs.snowflake.com/en/user-guide/data-quality-intro)を使用すると、テーブルの列に直接自動品質チェックを付加できます。Snowflakeはスケジュールに従ってそれらを実行し、結果を`SNOWFLAKE.LOCAL.DATA_QUALITY_MONITORING_RESULTS`に保存します。組み込みDMFには`NULL_COUNT`、`DUPLICATE_COUNT`、`UNIQUE_COUNT`、`FRESHNESS`が含まれます。カスタムDMFも作成可能です。\n\nセットアップスクリプトは`orders.total_amount`と`order_items.quantity`に約200のNULL値、`order_items.product_name`に約150のNULL値を注入しました。DMFは最初の2つを検出しますが、ギャップがあります。\n\n### ギャップの発見\n\nCoCoにプロンプト：\n\n\u003E 「データ品質モニタリングの結果を確認して、どの列にNULL違反があるか見せてください」\n\nCoCoが`TOTAL_AMOUNT`（200 NULLs）と`QUANTITY`（200 NULLs）に違反があることを表示しますが、`product_name`のNULLは検出されていません。\n\n\u003E 「order_items.product_nameにNULL値はありますか？その列は監視されていますか？」\n\nCoCoが約150のNULLを見つけ、DMFが`product_name`ではなく`product_category`に誤って付加されていることを明らかにします。\n\n### カバレッジの修正\n\n\u003E 「DMFを修正してください — product_categoryからNULLチェックを削除し、代わりにproduct_nameに追加してください」\n\n```sql\nALTER TABLE order_items DROP DATA METRIC FUNCTION SNOWFLAKE.CORE.NULL_COUNT ON (product_category);\nALTER TABLE order_items ADD DATA METRIC FUNCTION SNOWFLAKE.CORE.NULL_COUNT ON (product_name);\n```\n\nこれは実際のワークフローを示しています：監視、ギャップの発見、カバレッジの修正。\n\n\u003C!-- ------------------------ --\u003E\n## Dynamic Tablesパイプライン\n\n[Dynamic Tables](https://docs.snowflake.com/en/user-guide/dynamic-tables-about)は宣言的データパイプラインです — ターゲット状態をSQLクエリとして定義すると、Snowflakeが自動的にインクリメンタルリフレッシュを処理します。`TARGET_LAG`パラメータで鮮度を制御します：Tier 1テーブルには時間ベースのラグ（例：`1 minute`）を設定し、Tier 2以降には`DOWNSTREAM`を使用して上流ソースが変更された場合にのみリフレッシュします。\n\nCoCoにプロンプト：\n\n\u003E 「Dynamic Tablesパイプラインのステータスを見せてください — 各ティアの名前、ターゲットラグ、最終リフレッシュ時刻、行数」\n\nCoCoが3層パイプラインを表示します：\n\n- Tier 1（1分ラグ）：`enriched_orders`（1,000万行）、`enriched_order_items`（2,500万行）\n- Tier 2（DOWNSTREAM）：`fact_orders`（2,500万行）\n- Tier 3（DOWNSTREAM）：`daily_business_metrics`（118行）、`product_performance_metrics`（4行）\n\n\u003E 注意：表示される行数はデフォルトの`data_scale = '10M'`のものです。`setup.sql`で`'50M'`を選択した場合、約5,000万enriched_orders、約1.61億order_items、365日分のメトリクスが予想されます。\n\n### 結果の探索\n\nCoCoに質問：\n\n\u003E 「日次ビジネスメトリクスのサンプルを見せてください — 収益上位5日」\n\n期待される結果：上位5日は2025年9月（新学期のピーク）で、各日約$183Mの収益と約117K注文。\n\n\u003C!-- ------------------------ --\u003E\n## dbtアナリティクス\n\n[dbt-snowflake](https://docs.snowflake.com/en/user-guide/data-engineering/dbt-projects-on-snowflake)は、SQL SELECTステートメントを使用して生データを分析可能なモデルに変換します。dbt-snowflakeアダプターはSnowflakeとネイティブに統合され、インクリメンタルモデル、スナップショット、組み込みテストをサポートします。このHOLでは、dbtが顧客生涯価値、セグメンテーション、製品パフォーマンス、サポート分析のためのステージングビューとマートテーブルを作成します。\n\n\u003E 前提条件：`dbt-core`と`dbt-snowflake`がインストールされている必要があります（`pip install dbt-snowflake`）。CoCoがまだインストールされていない場合は自動的に処理します。\n\nCoCoにプロンプト：\n\n\u003E 「dbt-analyticsプロジェクトのdbt依存関係をインストールし、すべてのモデルをビルドしてください」\n\nCoCoが`dbt deps`を実行し、次に`dbt build`ですべてのステージングビューとマートテーブル（9以上のモデル）を作成します。CoCoはアクティブなSnowflake接続をdbtプロファイルに自動的に注入します — 手動設定は不要です。\n\n\u003E 期待される出力：71テストがパス、1つの警告（`source_not_null_raw_orders_total_amount`テストがData Quality演習で注入した200のNULLを検出 — これは設計通りの動作です）。\n\n### 結果の探索\n\n\u003E 「顧客生涯価値セグメントを見せてください — 各価値ティアに何人の顧客がいますか？」\n\n\u003C!-- ------------------------ --\u003E\n## Gen2 Warehouse：Optima Indexing\n\n[Gen2 Warehouses](https://docs.snowflake.com/en/user-guide/warehouses-gen2)はOptima Indexingを導入します — 明示的なクラスタリングキーなしにクエリ時にパーティションをプルーニングする自動インデックスレイヤーです。Gen2ウェアハウスはクエリパターンから学習し、ポイントルックアップやフィルタスキャンを高速化する内部インデックスを構築します。\n\nOptima Indexingの動作を実証します：\n\nCoCoにプロンプト：\n\n\u003E 「Gen2ウェアハウスでcustomer_id 5000のポイントルックアップを実行してください」\n\nSnowsightでクエリプロファイルを開き、パーティションプルーニングを確認してください — 明示的なクラスタリングキーがないにもかかわらず、スキャンされるパーティションはごく一部です。これがGen2のOptima Indexingの動作です。\n\n\u003C!-- ------------------------ --\u003E\n## Interactive Tables\n\n[Interactive Tables](https://docs.snowflake.com/en/user-guide/interactive)は、低レイテンシ・高並行性のポイントルックアップ専用に構築されています。等価述語に最適化されたクラスタリングで事前計算結果を維持し、ダッシュボードフィルターやフルテーブルスキャンが必要なアプリケーションクエリにサブ秒のレスポンス時間を提供します。\n\n### ポイントルックアップ\n\nSnowsightでクエリを実行し、サブ秒のレイテンシを観察します：\n\n```sql\nUSE WAREHOUSE hol_interactive_wh;\nALTER SESSION SET USE_CACHED_RESULT = FALSE;\n\n-- 顧客IDによるポイントルックアップ\nSELECT * FROM dash_automated_intelligence_db.interactive.customer_order_analytics\nWHERE customer_id = 1;\n\n-- 注文IDによるポイントルックアップ\n-- 実行: SELECT order_id FROM dash_automated_intelligence_db.interactive.order_lookup LIMIT 5; でUUIDを取得\nSELECT * FROM dash_automated_intelligence_db.interactive.order_lookup\nWHERE order_id = '\u003Cany-order-uuid\u003E';\n```\n\n### 並行負荷テスト\n\nCoCoにプロンプト：\n\n\u003E 「interactive/load_test.pyでInteractive Tablesの負荷テストを実行してください」\n\n200並行セッション（合計1000クエリ）をInteractiveとStandardの両方のウェアハウスに対して実行し、P50/P90/P99レイテンシを比較します。Interactiveウェアハウスで顕著に低いレイテンシと高いスループットが見られるはずです。\n\nウォームキャッシュの効果を観察するため、負荷テストをもう一度実行してみてください。結果はアカウント、リージョン、データスケールによって異なる場合があります。\n\n\u003C!-- ------------------------ --\u003E\n## CoCoカスタムスキル\n\n[CoCoカスタムスキル](https://docs.snowflake.com/en/user-guide/cortex-code/extensibility#skills)を使用すると、繰り返し可能なワークフローを名前付きコマンドにパッケージ化し、チームメンバーが呼び出せるようにできます。スキルはMarkdownファイル（`.cortex/skills/\u003Cname\u003E/SKILL.md`）で、トリガー、パラメータ、CoCoがスキル起動時に従うステップバイステップの指示を定義します。\n\nテーブルプロファイリングを自動化する再利用可能なスキルを作成します：\n\nCoCoにプロンプト：\n\n\u003E 「テーブル名を受け取り、行数をカウントし、NULL列をチェックし、ユニーク値数を表示し、潜在的なデータ品質問題をフラグする'profile-table'というカスタムCoCoスキルを作成してください」\n\nCoCoが`.cortex/skills/profile-table/SKILL.md`にスキル定義、トリガー、ステップバイステップの指示を作成します。\n\n\u003E 注意：スキル作成後、新しいスキルを有効にするにはCoCoセッションを再起動してください。CLI：`/quit`を入力してから`cortex`。Desktop：サイドバーから新しいセッションを開きます。\n\n### テスト\n\n\u003E 「$profile-table DASH_AUTOMATED_INTELLIGENCE_DB.RAW.ORDERS」\n\nチームが再利用可能なワークフローを共有可能なCoCoスキルとしてパッケージ化する方法を実証しています。\n\n\u003C!-- ------------------------ --\u003E\n## Snowflake CoWork\n\n[Cortex Agents](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents)は、質問を適切なデータソースにルーティングするマルチツールAIオーケストレーターです。[Cortex Analyst](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-analyst)（[セマンティックビュー](https://docs.snowflake.com/en/sql-reference/sql/create-semantic-view)を介したtext-to-SQL）と[Cortex Search](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-search/cortex-search-overview)（非構造化データに対するベクトル＋キーワード検索）を組み合わせ、単一の会話インターフェースから「何が起きたか」と「なぜ」の両方に回答します。\n\n### エージェントの作成\n\nCoCoにプロンプト：\n\n\u003E 「snowflake-cowork/create_agent.sqlを実行してBusiness Insights Agentを作成してください」\n\n### エージェントルーティングのテスト\n\nSnowsightでSnowflake CoWorkインターフェースを開きます：AI & ML → CoWork に移動（またはグローバル検索バーで「CoWork」を検索）。`BUSINESS_INSIGHTS_AGENT`エージェントを選択します。各質問を試して、異なるツールルーティングを実証します：\n\n| 質問 | ルーティング先 |\n|------|------------|\n| 「2025年6月から9月の月次収益トレンドを見せてください」 | Cortex Analyst (text-to-SQL) |\n| 「どの月が最も収益が低く、その時期の顧客レビューは何と言っていますか？」 | Cortex Analyst + Agentic Search |\n| 「サイズ間違いに言及しているレビューで評価3未満のものを見つけてください」 | Agentic Search (フィルタ付き) |\n| 「なぜ顧客がスキーブーツを返品しているのですか？」 | Agentic Search (レビュー＋チケット) |\n| 「州別の総収益と顧客数は？」 | Cortex Analyst (text-to-SQL) |\n| 「サポートチケットの上位苦情テーマは何ですか？」 | Agentic Search (フィルタ + AI_AGG) |\n| 「サイズの問題に言及しているレビューは何件で、最も影響を受けている製品は？」 | Agentic Search (検索＋ブレークダウン) |\n\nこれがクライマックスです — エージェントが構造化データ（text-to-SQL）と非構造化データ（Cortex Search）にまたがってルーティングし、「何が起きたか」と「なぜ」に回答します。\n\n\u003C!-- ------------------------ --\u003E\n## セキュリティとガバナンス\n\n[Row Access Policies](https://docs.snowflake.com/en/user-guide/security-row-intro)は宣言的に行レベルセキュリティを施行します — どの行がどのロールに表示されるかを決定するブール式を定義すると、Snowflakeがすべてのクエリ（AIエージェントが生成したものを含む）に透過的に適用します。アプリケーションコードの変更は不要です。\n\nRow Access PolicyとWEST_COAST_MANAGERロールは`setup.sql`で作成済みです。ロールに基づいて行レベルセキュリティがデータを透過的にフィルタリングする方法を実証します：\n\nACCOUNTADMIN（フルアクセス）として：\n\n```sql\nUSE ROLE ACCOUNTADMIN;\nUSE WAREHOUSE HOL_WH;\nSELECT c.state, SUM(o.total_amount) AS total_revenue, COUNT(DISTINCT c.customer_id) AS customer_count\nFROM dash_automated_intelligence_db.raw.orders o\nJOIN dash_automated_intelligence_db.raw.customers c ON o.customer_id = c.customer_id\nGROUP BY c.state ORDER BY total_revenue DESC;\n```\n\n結果：全10州が表示されます。\n\nWEST_COAST_MANAGER（制限付き）として：\n\n```sql\nUSE ROLE WEST_COAST_MANAGER;\nUSE WAREHOUSE HOL_WH;\nSELECT c.state, SUM(o.total_amount) AS total_revenue, COUNT(DISTINCT c.customer_id) AS customer_count\nFROM dash_automated_intelligence_db.raw.orders o\nJOIN dash_automated_intelligence_db.raw.customers c ON o.customer_id = c.customer_id\nGROUP BY c.state ORDER BY total_revenue DESC;\n```\n\n結果：CA、OR、WAのみが表示されます — Row Access Policyが透過的にデータをフィルタリングします。\n\n重要なポイント：同じクエリ、同じテーブル — 誰が質問しているかによって異なる結果。行レベルセキュリティは、アプリケーションロジックを変更せずにデータ境界を施行します。\n\n### CoWorkを通じた検証\n\nSnowsightで WEST_COAST_MANAGER ロールに切り替え、CoWorkを開いてエージェントに質問します：\n\n\u003E 「州別の総収益と顧客数は？」\n\nエージェントはCA、OR、WAのみの結果を返します — Row Access PolicyはAI生成SQLを通じても透過的にデータをフィルタリングします。\n\n\u003C!-- ------------------------ --\u003E\n## Streamlitダッシュボード\n\n[Streamlit in Snowflake](https://docs.snowflake.com/en/developer-guide/streamlit/about-streamlit)を使用すると、Snowflakeアカウント内で直接インタラクティブなデータアプリケーションを構築・デプロイできます — 外部インフラは不要です。アプリはSnowflake内で安全に実行され、データへのネイティブアクセスと同じロールベースのアクセス制御が適用されます。\n\n\u003E 前提条件：dbtモデルが先にビルドされている必要があります（dbtアナリティクスセクション参照）。ダッシュボードは`DBT_ANALYTICS`と`DBT_STAGING`テーブルをクエリします。\n\nCoCoにプロンプト：\n\n\u003E 「StreamlitダッシュボードをSnowflakeにデプロイしてください」\n\nCoCoが`streamlit-dashboard/`ディレクトリから`snow streamlit deploy`を実行します。デプロイ後、SnowsightでアプリURLを開いて探索します：\n\n- サマリー — 収益KPI、注文トレンド、顧客数\n- 顧客＆製品アナリティクス — 生涯価値セグメント、製品パフォーマンス\n- パイプラインヘルス — Dynamic Tablesリフレッシュステータス、データ鮮度監視\n\n\u003C!-- ------------------------ --\u003E\n## エージェント評価\n\n[エージェント評価](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents#evaluating-agents)を使用すると、グラウンドトゥルースデータセットとLLM-as-judgeスコアリングでエージェント品質を測定できます。入力クエリと期待される回答を定義し、Snowflakeが各質問に対してエージェントを実行し、回答の正確性（レスポンスがグラウンドトゥルースと一致するか？）と論理的一貫性（推論ステップが内部的に一貫しているか？）でスコアリングします。\n\n評価データセット（7問＋グラウンドトゥルース）は`setup.sql`で作成済みです。Snowsightで評価を実行します：\n\n### Snowsight UIで実行\n\n1. Snowsightで ACCOUNTADMINロールに切り替え（左上のロールセレクター）\n2. AI and ML \u003E Agents \u003E BUSINESS_INSIGHTS_AGENT \u003E Evaluationsタブに移動\n3. 「New evaluation run」をクリック、名前を付け（例：`hol-eval-run-1`）、「Next」をクリック\n4. 「Create new dataset from table」を選択\n5. Source tableで、Database and schemaを`DASH_AUTOMATED_INTELLIGENCE_DB.SEMANTIC`に設定し、`AGENT_EVALUATION_DATA`を選択\n6. New dataset locationは`DASH_AUTOMATED_INTELLIGENCE_DB.SEMANTIC`のまま\n7. Dataset name：`hol_eval_dataset`\n8. 「Next」をクリック\n9. Define metricsで、Input query = `INPUT_QUERY`を確認\n10. Answer Correctnessをオンにし、Expected answer = `GROUND_TRUTH`を設定\n11. Logical Consistencyをオンに\n12. 「Create」をクリック — 評価が自動的に開始されます（約3分）\n\n### 結果の解釈\n\n- Answer Correctness — エージェントのレスポンスがグラウンドトゥルースと一致したか？質問ごとに0-1でスコアリング。\n- Logical Consistency — プランニングステップ、ツール呼び出し、レスポンスが内部的に一貫しているか？（参照不要）\n- 質問ごとのドリルダウン — 任意の行を選択して完全なスレッドを表示：プランニング、ツール呼び出し、レスポンス生成。\n\n### スコアの改善（応用）\n\n論理的一貫性で低スコアの質問がある場合：\n\n1. 低スコアの行をクリックし、Thread detailsを表示\n2. Planningステップでのツール選択に関する曖昧な推論を探す\n3. エージェントの指示をより明確に更新\n4. エージェントを再作成し、評価を再実行\n\n\u003C!-- ------------------------ --\u003E\n## MCPサーバー\n\n[Snowflake MCPサーバー](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents#managed-mcp-servers)は、Cortex Agents、セマンティックビュー、Search Servicesをオープンなモデルコンテキストプロトコル（MCP）で発見可能なツールとして公開します。MCP互換クライアント（CoCo CLI、Claude Desktop、カスタムアプリ）がサーバーエンドポイントに接続し、プログラム的にツールを呼び出せます — SnowflakeのAIスタックを再利用可能なサービスレイヤーにします。\n\nBusiness Insights AgentをマネージドMCPサーバーとして公開します：\n\nCoCoにプロンプト：\n\n\u003E 「Business Insights Agent、セマンティックビュー、顧客フィードバック検索をツールとして公開するSnowflakeマネージドMCPサーバーを作成してください」\n\nCoCoがMCPサーバーを作成します：\n\n\u003E 注意：CoCoはプロンプトに基づいてツール名（`revenue-analytics`、`customer-feedback-search`など）を生成します。名前は異なる場合があります — 重要なのは`type`と`identifier`が正しいオブジェクトを指していることです。\n\n```sql\nCREATE MCP SERVER business_insights_mcp\n  FROM SPECIFICATION $$\n    tools:\n      - name: \"business-insights-agent\"\n        type: \"CORTEX_AGENT_RUN\"\n        identifier: \"DASH_AUTOMATED_INTELLIGENCE_DB.SEMANTIC.BUSINESS_INSIGHTS_AGENT\"\n        description: \"構造化データと顧客フィードバックを使用してビジネスの質問に回答するAIエージェント\"\n        title: \"Business Insights Agent\"\n\n      - name: \"revenue-analytics\"\n        type: \"CORTEX_ANALYST_MESSAGE\"\n        identifier: \"DASH_AUTOMATED_INTELLIGENCE_DB.SEMANTIC.BUSINESS_ANALYTICS_SEMANTIC\"\n        description: \"収益、注文、顧客、製品メトリクスのText-to-SQL\"\n        title: \"Revenue Analytics\"\n\n      - name: \"customer-feedback-search\"\n        type: \"CORTEX_SEARCH_SERVICE_QUERY\"\n        identifier: \"DASH_AUTOMATED_INTELLIGENCE_DB.RAW.CUSTOMER_FEEDBACK_SEARCH\"\n        description: \"製品レビューとサポートチケットの検索\"\n        title: \"Customer Feedback Search\"\n  $$;\n```\n\n### CoCoから接続\n\n```\ncortex mcp add business-insights https://\u003Caccount_url\u003E/api/v2/databases/DASH_AUTOMATED_INTELLIGENCE_DB/schemas/SEMANTIC/mcp-servers/BUSINESS-INSIGHTS-MCP --type http\n```\n\n\u003E Desktop：CoCo DesktopでMCPサーバーを追加するには、Settings → MCPに移動し、上記のエンドポイントURLで新しいHTTPサーバーを追加します。またはチャットで`/mcp`と入力します。\n\nこれでMCP互換クライアント（CoCo、Claude Desktop、カスタムアプリ）が標準MCPプロトコルでこれらのツールを発見・呼び出しできます。\n\n\u003C!-- ------------------------ --\u003E\n## オプション：Iceberg V3機能\n\n\u003E 注意：このセクションはオプションです。CoCo生成SQLを使用してIceberg V3機能（削除ベクトル、デフォルト値）を実証します。他のセクションはこのセクションに依存していません。\n\n\u003E 注意：Iceberg V3機能は新しいAPIのため、CoCoが正しいSQLを生成するまでに数回の試行が必要な場合があります。「error executing SQL」が表示されたら、CoCoに再試行させてください — 自己修正して最終的に動作します。\n\n### マネージドIcebergテーブルの作成\n\nCoCoにプロンプト：\n\n\u003E 「RAW.ORDERSから年月でクラスタリングしたマネージドIcebergテーブルを作成し、クエリしてパーティションプルーニングを見せてください」\n\nCoCoが`CATALOG='SNOWFLAKE'`（外部ボリューム不要）でテーブルを作成し、フィルタクエリでパーティションプルーニングを実証します。\n\n### V3を探索：削除ベクトル\n\n\u003E 「RAW.ORDERSからIceberg V3テーブル（ICEBERG_VERSION=3）をmerge-on-read有効で作成し、1000行を挿入してから10行を更新して削除ベクトルを実証してください」\n\nCoCoが`ENABLE_ICEBERG_MERGE_ON_READ = TRUE`でV3テーブルを作成し、データを挿入し、完全なファイル書き換えの代わりに削除ベクトルを使用するUPDATEを実行します。\n\n### V3を探索：デフォルト値\n\n\u003E 「V3テーブルにデフォルト値'STANDARD'で新しい列'priority'を追加し、バックフィルなしで既存の行がデフォルトを取得することを見せてください」\n\nデータファイルを書き換えずにV3スキーマエボリューションを実証します。\n\n\u003C!-- ------------------------ --\u003E\n## オプション：ストリーミング取り込み\n\n\u003E 注意：このセクションはオプションです。`setup.sql`スクリプトは既に5,000万注文すべてを直接ロードしています。このセクションでは、Snowpipe Streaming Python SDKを使用して本番環境でデータをストリーミングする方法を実証します。\n\n### RSA鍵ペアの生成\n\nSnowpipe Streaming認証用の鍵を生成します：\n\n```bash\n# 秘密鍵の生成（暗号化なしPEM）\nopenssl genrsa 2048 | openssl pkcs8 -topk8 -inform PEM -out rsa_key.p8 -nocrypt\n\n# 公開鍵の生成\nopenssl rsa -in rsa_key.p8 -pubout -out rsa_key.pub\n\n# 公開鍵をSnowflakeユーザーにアップロード（\u003Cyour-username\u003Eを置き換え）\nsnow sql -q \"ALTER USER \u003Cyour-username\u003E SET RSA_PUBLIC_KEY='$(grep -v -- '-----' rsa_key.pub | tr -d '\\n')'\" -c hol\n\n# 確認\nsnow sql -q \"DESC USER \u003Cyour-username\u003E\" -c hol | grep RSA_PUBLIC_KEY_FP\n```\n\n### データのストリーミング\n\n```bash\ncd snowpipe-streaming-python\npip install -r requirements.txt\n\n# プロファイルのコピーと設定\ncp profile.json.template profile.json\n```\n\n`profile.json`を編集し、`account`、`user`、`private_key`（rsa_key.p8の内容）、`role`を設定します。\n\n```bash\n# 10,000注文をストリーミング\npython src/automated_intelligence_streaming.py 10000\n```\n\n### データの着地確認\n\n```sql\nSELECT COUNT(*) FROM dash_automated_intelligence_db.staging.orders_staging;\nSELECT COUNT(*) FROM dash_automated_intelligence_db.staging.order_items_staging;\n```\n\nステージングに10,000注文と約50,000注文アイテムが見られるはずです。\n\n### 本番へのマージ\n\nCoCoを使用してストリームデータをマージします：\n\n\u003E 「Gen2ウェアハウスに切り替え、ステージングの行数を確認してから、RAWにマージして結果を見せてください」\n\n\u003C!-- ------------------------ --\u003E\n## まとめとリソース\n\nおめでとうございます！ストリーミング取り込みから会話型AI、MCPサーバー公開まで、Snowflake上の完全なAI搭載リテール分析プラットフォームの構築に成功しました。\n\n### 学んだこと\n\n- Snowpipe StreamingとGen2 Warehousesによるリアルタイムデータのストリーミングとマージ\n- Dynamic Tablesによるインクリメンタル変換パイプラインの構築\n- Interactive Tablesによるサブ秒ポイントルックアップのサービング\n- 削除ベクトルとデフォルト値を持つIceberg V3テーブルの作成とクエリ\n- Data Metric Functionsによるデータ品質ギャップの監視と修正\n- Snowflake上のdbt分析モデルの構築\n- 繰り返し可能なワークフロー用のカスタムCoCoスキルの作成\n- 構造化データ（Analyst）と非構造化データ（Search）にまたがるCortex Agentの構築\n- グラウンドトゥルースデータセットによるエージェント品質の評価\n- AIエージェントを通じた透過的な行レベルセキュリティの実装\n- マネージドMCPサーバーとしてのAI機能の公開\n\n### 関連リソース\n\nドキュメント：\n\n- [Snowpipe Streaming SDK](https://docs.snowflake.com/en/user-guide/data-load-snowpipe-streaming-overview)\n- [Dynamic Tables](https://docs.snowflake.com/en/user-guide/dynamic-tables-about)\n- [Interactive Tables](https://docs.snowflake.com/en/user-guide/interactive)\n- [Gen2 Warehouses](https://docs.snowflake.com/en/user-guide/warehouses-gen2)\n- [Cortex Agents](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents)\n- [Semantic Views](https://docs.snowflake.com/en/sql-reference/sql/create-semantic-view)\n- [Data Metric Functions](https://docs.snowflake.com/en/user-guide/data-quality-intro)\n- [Row Access Policies](https://docs.snowflake.com/en/user-guide/security-row-intro)\n- [Snowflake CoCo](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"isDeveloperGuidesPage":false,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-a22a8e011f","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-1c0bd0bab8",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-269a152d55","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-07-14",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-c2121ec3c5","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-d2d223dc45",":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-66aa9be604",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_table_of_":{"layout":"SIMPLE","id":"container-a64fac8c2b","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-baf8268eb0","headings":["\u003Ch2\u003EOverview\u003C/h2\u003E","\u003Ch2\u003Eセットアップ\u003C/h2\u003E","\u003Ch2\u003Eデータの探索\u003C/h2\u003E","\u003Ch2\u003Eデータ品質\u003C/h2\u003E","\u003Ch2\u003EDynamic Tablesパイプライン\u003C/h2\u003E","\u003Ch2\u003Edbtアナリティクス\u003C/h2\u003E","\u003Ch2\u003EGen2 Warehouse：Optima Indexing\u003C/h2\u003E","\u003Ch2\u003EInteractive Tables\u003C/h2\u003E","\u003Ch2\u003ECoCoカスタムスキル\u003C/h2\u003E","\u003Ch2\u003ESnowflake CoWork\u003C/h2\u003E","\u003Ch2\u003Eセキュリティとガバナンス\u003C/h2\u003E","\u003Ch2\u003EStreamlitダッシュボード\u003C/h2\u003E","\u003Ch2\u003Eエージェント評価\u003C/h2\u003E","\u003Ch2\u003EMCPサーバー\u003C/h2\u003E","\u003Ch2\u003Eオプション：Iceberg V3機能\u003C/h2\u003E","\u003Ch2\u003Eオプション：ストリーミング取り込み\u003C/h2\u003E","\u003Ch2\u003Eまとめとリソース\u003C/h2\u003E"],"fragmentPath":"/content/dam/snowflake-site/ja/content-fragments/quickstarts/sfguide-build-end-to-end-ai-app-on-snowflake-ja",":type":"snowflake-site/components/quickstart/quickstart-table-of-content"},"quickstart_button":{"id":"quickstart-button-ba428b378a","fragmentPath":"/content/dam/snowflake-site/ja/content-fragments/quickstarts/sfguide-build-end-to-end-ai-app-on-snowflake-ja",":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-3ed1f20515","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-c3bbedb1b2",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-6efede26c8","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/footer/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","classNames":"aem-xf",":items":{"root":{"additionalClasses":"sf-footer","layout":"SIMPLE","id":"container-4cffa7d1a8",":type":"snowflake-site/components/container",":items":{"container_copy_811922734":{"additionalClasses":"sf-footer__inner","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-fbec9b0fca",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-683bd2fb9d","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-1eb1fdc220",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sf-footer-grid__inner","layout":"RESPONSIVE_GRID","columnCount":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"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-3900f7790f",":type":"snowflake-site/components/container",":items":{"container_1622723482":{"additionalClasses":"sf-footer__column","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-804198ebd8",":type":"snowflake-site/components/container",":items":{"container":{"additionalClasses":"sf-footer__newsletter-group","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12","marketo_v2":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-cd9f850171",":type":"snowflake-site/components/container",":items":{"text":{"id":"text-e9bb93b01a","additionalClasses":"sf-footer__newsletter-title","text":"\u003Cp\u003E\u003Cb\u003Eマンスリーニュースレターを購読する\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003ESnowflakeの製品に関する最新情報、専門家の知見、役立つリソースを直接お届けします。\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-04"},"marketo_v2":{"id":"marketo-v2-2515d17596","marketoForm":{"hidden":null,"formId":"45871","edit":false,"successUrl":null,"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"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"}},":itemsOrder":["container"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"container":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_copy":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-ec63b27bcd",":type":"snowflake-site/components/container",":items":{"text":{"id":"text-abd74366c6","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003Eプロダクト\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/product/platform/\"\u003Eプラットフォーム\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/product/data-engineering/\"\u003E データエンジニアリング\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/product/analytics/\"\u003E分析\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/product/ai/\"\u003EAI\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/product/applications-and-collaboration/\"\u003Eアプリケーションとコラボレーション\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/pricing-options/\"\u003E料金 \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-7997b4480c","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003Eサポート\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/support/\"\u003Eサポート（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/support/\"\u003E優先サポート（英語） \u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://status.snowflake.com/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003Eステータス（英語）\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"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium"},"container_copy_copy":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-718836d97b",":type":"snowflake-site/components/container",":items":{"text":{"id":"text-eb7075af97","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003E業界\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/solutions/industries/advertising-media-entertainment/\"\u003E広告・メディア・エンターテイメント\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/solutions/industries/financial-services/\"\u003E金融サービス\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/solutions/industries/healthcare-and-life-sciences/\"\u003Eヘルスケア・ライフサイエンス\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/solutions/industries/manufacturing/\"\u003E製造\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/solutions/industries/public-sector/\"\u003E 官公庁・公的機関\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/solutions/industries/retail-consumer-goods/\"\u003E小売・消費財\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/solutions/industries/technology/\"\u003E テクノロジー\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"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"container_copy":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-3938d7252c",":type":"snowflake-site/components/container",":items":{"text":{"id":"text-065232a818","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003E企業情報\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/company/overview/about-snowflake/\"\u003ESnowflakeについて\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/leadership-and-board/\"\u003E\u003C/a\u003E\u003Ca href=\"https://careers.snowflake.com/us/en?_ga=2.189098923.1024280027.1746985324-1783381883.1746382047\"\u003E採用情報（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://investors.snowflake.com/overview/default.aspx\"\u003E投資家情報（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://trust.snowflake.com/\"\u003Eトラストセンター（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/brand-guidelines/\"\u003Eブランドガイドライン（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/contact/\"\u003Eお問い合わせ\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/news/\"\u003Eニュースルーム\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/esg/\"\u003EESG（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/snowflake-ventures/\"\u003ESnowflake Ventures（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/company/overview/end-data-disparity/\"\u003Eデータ格差の解消（英語）\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"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"container_copy_copy_":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-36fd2395ab",":type":"snowflake-site/components/container",":items":{"text":{"id":"text-04c377c272","additionalClasses":"sf-footer__link-group","text":"\u003Cp class=\"sf-footer__column-title\"\u003E学ぶ\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://snowflake.com/ja/resources/\"\u003Eリソースライブラリ\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/live-demo/?lang=ja\"\u003Eライブデモ\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/ja/fundamentals/\"\u003EAIデータクラウドの基礎 \u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/resources/learn/training/\"\u003Eトレーニング（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/resources/learn/certifications/\"\u003E認定資格\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca rel=\"noopener noreferrer\" href=\"https://learn.snowflake.com/en/\" target=\"_blank\"\u003ESnowflake University（英語）\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca rel=\"noopener noreferrer\" href=\"https://www.snowflake.com/ja/developers/guides/\" target=\"_self\"\u003E開発者ガイド\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca rel=\"noopener noreferrer\" href=\"https://docs.snowflake.com/ja\" target=\"_blank\"\u003Eドキュメント\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/ja/data-governance/\"\u003Eデータガバナンス\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"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"}},":itemsOrder":["container_1622723482","container","container_copy_copy","container_copy","container_copy_copy_"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"}},":itemsOrder":["container"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"],"appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small"},"container_573483281_":{"additionalClasses":"sf-footer__bottom","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"container_112062425":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-f12cb0242e",":type":"snowflake-site/components/container",":items":{"container_112062425":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-f35aa0f26b",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-2f75987cac","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-2256f28d2e",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sf-footer__legal-container","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","text_copy_copy_16360_1954079702":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-b10647ed74",":type":"snowflake-site/components/container",":items":{"container":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"image":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-935191f279",":type":"snowflake-site/components/container",":items":{"image":{"id":"image-eaf6de798f","additionalClasses":"sf-footer__logo","height":"64","lazyEnabled":true,"imageLink":{"valid":true,"url":"/en/"},"alt":"Snowflake logo","src":"https://www.snowflake.com/content/experience-fragments/snowflake-site/language-masters/ja/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","width":"64",":type":"snowflake-site/components/image"}},":itemsOrder":["image"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"text_copy_copy_16360_1954079702":{"id":"text-74c410502e","additionalClasses":"sf-footer__legal-links","text":"\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/legal/privacy/privacy-policy/\"\u003Eプライバシー通知\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/snowflake-site-terms/\"\u003Eサイト利用規約\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://info.snowflake.com/Preference-center.html\"\u003Eメール配信設定\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Cbutton id=\"ot-sdk-btn\" class=\"ot-sdk-show-settings\"\u003Eクッキーの設定\u003C/button\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/legal/privacy/privacy-policy/#12\"\u003E個人情報を共有しない\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ja/legal/\"\u003E法務関連\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E© 2026 Snowflake Inc. All Rights Reserved\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-1e3849ca0b","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_Japan\" 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_1954079702","markup_editor"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-none"}},":itemsOrder":["container"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"],"appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small"}},":itemsOrder":["container_112062425"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-none"},"markup_editor_copy":{"id":"markup-editor-ce0a56bb73","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}.language-ja .snowflake-title-v2.dynamic .heading-2-v2 span.snowflake-title-v2-line{font-size:clamp(2.5rem,3.5vw,4rem) !important;line-height:1.2 !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_811922734","container_573483281_","markup_editor_copy"],"appliedCssClassNames":"ui-background-02"}},":itemsOrder":["root"]},"markup_editor":{"id":"markup-editor-721f3d4726","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/ja/developers/guides/sfguide-build-end-to-end-ai-app-on-snowflake-ja","isPasswordProtected":false,"analyticsContentTags":["snowflake-site:taxonomy/product/data-engineering","snowflake-site:taxonomy/solution-center/certification/quickstart","snowflake-site:taxonomy/product/ai"],"analyticsEnabled":true,"coveoConfig":{"pipeline":"snowflake.com","searchHub":"snowflake.com","organizationId":"snowflakecomputingproduction8neljofn","apiKey":"xx335921a6-2a0a-40f2-a167-e390b4766c3d"},"analyticsDebugMode":false,"analyticsData":{"excludeFromAnalytics":false,"subCategory":"","pageType":"quickstart-page-template","templateName":"quickstart-page-template","siteName":"snowflake","pageUrl":"/content/snowflake-site/global/ja/developers/guides/sfguide-build-end-to-end-ai-app-on-snowflake-ja","language":"ja","category":"general","pageName":"Snowflake上でCoCoを使ったエンドツーエンドアプリケーションの構築","contentTags":["snowflake-site:taxonomy/product/data-engineering","snowflake-site:taxonomy/solution-center/certification/quickstart","snowflake-site:taxonomy/product/ai"]},"locale":"ja"}