{"templateName":"document-resource-page-template","cssClassNames":"resource-page page basicpage","allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"language":"de","title":"Ein Leitfaden für Data Analytics und KI","analyticsPageType":"document-resource-page-template","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,":mappedPath":"/de/resources/ebook/essential-guide-data-analytics-ai/thankyou/",":type":"snowflake-site/components/structure/page",":items":{"root":{"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"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"},":items":{"experiencefragment-banner":{"id":"experiencefragment-5b432dbcd5","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/de/site/pushdown-banner/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/de/site/pushdown-banner/master.xfmodel.json?callerPage=/content/snowflake-site/global/de/resources/ebook/essential-guide-data-analytics-ai/thankyou"},"experiencefragment-header":{"id":"experiencefragment-23a563280a","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/de/site/mega-nav-header/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/de/site/mega-nav-header/master.xfmodel.json?callerPage=/content/snowflake-site/global/de/resources/ebook/essential-guide-data-analytics-ai/thankyou"},"responsivegrid":{"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","container_1290289953":"aem-GridColumn aem-GridColumn--default--12","container_1895513714":"aem-GridColumn aem-GridColumn--default--12"},":items":{"container":{"layout":"RESPONSIVE_GRID","columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"simplified_lead_spac":"aem-GridColumn aem-GridColumn--default--12"},"id":"container-71a076e30a",":type":"snowflake-site/components/container",":items":{"simplified_lead_spac":{"id":"simplified-lead-space-eb92d4a7d6","title":{"id":"title","type":"display2","lines":["Ein Leitfaden für","Data Analytics und KI"],":type":"snowflake-site/components/title"},"image":{"id":"image","height":"403","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--6214ddd1-22a7-4f09-9e75-52c500935301/default-simplified-lead-space.png?preferwebp=true&quality=85","alt":"Default Simplified Lead Space image for Resource Library - Document pages","lazyEnabled":true,"width":"1280",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/simplified-lead-space"}},":itemsOrder":["simplified_lead_spac"]},"container_1895513714":{"layout":"RESPONSIVE_GRID","columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"pdfviewer":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"id":"main-content",":type":"snowflake-site/components/container",":items":{"pdfviewer":{"id":"pdfviewer-1002997215","defaultViewMode":"FIT_WIDTH","exitPDFViewerType":"CLOSE","clientId":"388314e3f5fb432fbd78e8e576e938c0","reportSuiteId":"","documentPath":"https://www.snowflake.com/content/dam/snowflake-site/de/resource-library/pdfs/ebooks/Ein%20Leitfaden%20fu%CC%88r%20Data%C2%A0Analytics%20und%20KI.pdf","documentFileName":"Ein Leitfaden für Data Analytics und KI.pdf","showAnnotationTools":false,"showFullScreen":false,"showDownloadPdf":true,"showPrintPdf":true,"type":"FULL_WINDOW",":type":"snowflake-site/components/pdfviewer"},"title_v2":{"id":"title-v2-c888c887f0","type":"heading4","lines":["Überblick"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text":{"id":"text-45e862e8d1","text":"\u003Ch4\u003ESeien Sie bereit für KI&nbsp;– mit einer führenden Analytics-Engine. Profitieren Sie von erstklassiger Preis-Performance für alle Daten, ob in einem Data Warehouse, Lake, Lakehouse oder Mesh.\u003C/h4\u003E\r\n\u003Cp\u003EIn der heutigen KI-basierten Welt sind Daten das wichtigste Gut von Unternehmen. Doch nur wer ihr volles Potenzial erschließt, bleibt wettbewerbsfähig. Der Schlüssel dazu? Eine einfache, vernetzte und vertrauenswürdige Plattform für Data Analytics. Treffen Sie fundierte Entscheidungen und machen Sie Ihre Daten bereit für die Zukunft der KI.\u003C/p\u003E\r\n\u003Cp\u003EUnser E-Book zeigt Ihnen, wie Sie:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EModerne Datenarchitekturen meistern:\u003C/b\u003E&nbsp;Verstehen Sie die Evolution von Data Warehouse zu Lakehouse und Data Mesh und ermöglichen Sie so schnelle, intelligente Analysen auf einer einzigen Plattform.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ESich von Altsystemen befreien:\u003C/b\u003E&nbsp;Migrieren Sie Ihr gesamtes Datenökosystem&nbsp;– einschließlich Pipelines, ML-Modellen und BI&nbsp;– auf eine einzige, cloudnative Plattform für mehr Flexibilität, Skalierbarkeit und Sicherheit.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EInnovation mit KI beschleunigen:\u003C/b\u003E Integrieren Sie nahtlos sofort einsatzbereite KI-Funktionen wie LLM-Assistenten, Data&nbsp;Agents oder Text-to-SQL. So schaffen Sie intuitive Nutzererlebnisse und gewinnen schneller wertvolle Erkenntnisse.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text"}},":itemsOrder":["pdfviewer","title_v2","text"],"appliedCssClassNames":"snowflake-container snowflake-container-padding"},"container_1290289953":{"layout":"RESPONSIVE_GRID","columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"button":"aem-GridColumn aem-GridColumn--default--12","related_content":"aem-GridColumn aem-GridColumn--default--12"},"id":"container-9f3c984f5e",":type":"snowflake-site/components/container",":items":{"related_content":{"id":"related-content-10dc0ce7bf","title":{"id":"title","type":"heading1","lines":["WEITERE EMPFEHLUNGEN","FÜR SIE"],":type":"snowflake-site/components/title"},"cards_container":{"layout":"SIMPLE",":type":"snowflake-site/components/card/cards-container",":items":{"card_0":{"configurationStatus":{"configured":true,"message":""},":type":"snowflake-site/components/card","title":{"lines":["Datentrends 2026: Finanzdienstleistungen"],"type":"heading3",":type":"snowflake-site/components/title"},"button":{"id":"button-e9f06f84c5","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/de/resources/ebook/data-trends-2026-financial-services/thankyou/"},"linkTargetContentType":"DOCUMENT",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL"},"wistia_video_cta":null,"eyebrow":{"lines":[" E-Book"],"type":"heading5",":type":"snowflake-site/components/title"},"image":{"id":"image-a100a2edfa","height":"1165","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--c945427c-40be-4f0b-8686-73aca0ab4aca/datentrends-2026--finanzdienstleistungen.png?preferwebp=true&quality=85","lazyEnabled":true,"width":"2064",":type":"snowflake-site/components/image"},"type":"small"},"card_1":{"configurationStatus":{"configured":true,"message":""},":type":"snowflake-site/components/card","title":{"lines":["Datentrends 2026: Handel und Konsumgüter"],"type":"heading3",":type":"snowflake-site/components/title"},"button":{"id":"button-701ad7a6fb","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/de/resources/ebook/data-trends-2026-retail-and-consumer-goods/thankyou/"},"linkTargetContentType":"DOCUMENT",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL"},"wistia_video_cta":null,"eyebrow":{"lines":[" E-Book"],"type":"heading5",":type":"snowflake-site/components/title"},"image":{"id":"image-472d12b693","height":"1165","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--ac57cae8-d6a7-4cc5-9200-9624e735d602/datentrends-2026--handel-und-konsumgu%25CC%2588ter.png?preferwebp=true&quality=85","lazyEnabled":true,"width":"2064",":type":"snowflake-site/components/image"},"type":"small"},"card_2":{"configurationStatus":{"configured":true,"message":""},":type":"snowflake-site/components/card","title":{"lines":["Datentrends 2026: Fertigung"],"type":"heading3",":type":"snowflake-site/components/title"},"button":{"id":"button-534a06061a","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/de/resources/ebook/data-trends-2026-manufacturing/thankyou/"},"linkTargetContentType":"DOCUMENT",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL"},"wistia_video_cta":null,"eyebrow":{"lines":[" E-Book"],"type":"heading5",":type":"snowflake-site/components/title"},"image":{"id":"image-edc7e45d96","height":"1165","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--4fb16cad-0762-40ae-9b5d-c8181ffaa2b6/datentrends-2026--fertigung.png?preferwebp=true&quality=85","lazyEnabled":true,"width":"2064",":type":"snowflake-site/components/image"},"type":"small"}},":itemsOrder":["card_0","card_1","card_2"]},":type":"snowflake-site/components/flexible-card-gallery","appliedCssClassNames":"snowflake-card-gallery-blue-bg"},"button":{"id":"button-6d15f48e77","showOutboundIcon":true,"buttonLink":{"valid":true,"url":"/de/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-secondary snowflake-button-white snowflake-button-regular snowflake-button-center","linkType":"SNOWFLAKE_INTERNAL","text":"Zurück zur Ressourcenbibliothek"}},":itemsOrder":["related_content","button"],"appliedCssClassNames":"snowflake-container-padding ui-background-04"}},":itemsOrder":["container","container_1895513714","container_1290289953"],":type":"wcm/foundation/components/responsivegrid"},"modal_container":{"layout":"SIMPLE","id":"container-a0aae3bb09",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-8d71302981","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/de/site/footer/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/de/site/footer/master.xfmodel.json?callerPage=/content/snowflake-site/global/de/resources/ebook/essential-guide-data-analytics-ai/thankyou"},"markup_editor":{"id":"markup-editor-12183e15d7","title":" ","cssContent":".customer-story-hero__stats{}.resource-action-bar .share-icon-group{gap:16px}.resource-action-bar .share-icon svg{height:24px}.resource-action-bar\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:auto !important;margin:0 !important}.resource-action-bar\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-direction:row;justify-content:space-between;max-width:1000px;margin:0 auto;padding:24px 0;align-items:center}.resource-action-bar\u003E.container\u003E.cmp-container\u003E.aem-container::before,.resource-action-bar\u003E.container\u003E.cmp-container\u003E.aem-container::after{display:none !important}.snowflake-pdfviewer-visible{padding:0 !important}.snowflake-pdfviewer:not(:has(iframe))\u003Ediv{background:#f5f5f5;transition:300ms ease all}.snowflake-pdfviewer\u003Ediv{transition:300ms ease all;background:transparent;margin-bottom:8px}#main-content{padding-bottom:32px}#main-content .snowflake-text{max-width:1000px;margin:0 auto}#main-content\u003E.container\u003E.cmp-container\u003E.aem-container{padding:0 !important}.snowflake-container-padding-main,.snowflake-container-padding\u003E.aem-container,.snowflake-container-padding\u003Ediv\u003E.responsivegrid\u003E.cmp-container\u003E.aem-container{max-width:100% !important}.resource-page .snowflake-card-gallery{padding:0 !important}body.resource-page .snowflake-simplified-lead-space-eyebrow{margin-bottom:var(--spacing-04) !important}body.resource-page .snowflake-simplified-lead-space-eyebrow .snowflake-title-line{color:var(--ui-01) !important;font-size:14px !important;font-weight:800 !important}body.resource-page .snowflake-simplified-lead-space{padding-bottom:var(--spacing-04);min-height:200px;overflow:hidden;background-image:url(\"https://www.snowflake.com/content/dam/snowflake-site/general/design-ops/generic-resources/bg-texture.svg\");background-repeat:repeat-x;background-size:8px auto}.snowflake-simplified-lead-space-background-image__image{display:none !important}body.resource-page .snowflake-simplified-lead-space::after{content:\"\";border-radius:100%;display:block;width:120%;height:160%;max-width:1100px;background:#fff;position:absolute;filter:blur(50px);top:50%;left:50%;transform:translate(-50%,-50%)}body.resource-page .snowflake-simplified-lead-space-content{max-width:1000px;margin:0 auto}body.resource-page #main-content:not(:has(.snowflake-customer-details-card)){max-width:1000px;margin:0 auto}body.resource-page .ui-background-04 .snowflake-grid.aem-container{padding-bottom:16px}body.resource-page .ui-background-04.snowflake-container-padding\u003Ediv\u003E.responsivegrid\u003E.cmp-container\u003E.aem-container{padding:64px 0}body.resource-page .ui-background-04 .snowflake-button-secondary.snowflake-button-white .snowflake-button-container{border-color:var(--ui-01) !important;color:var(--ui-01) !important}body.resource-page .snowflake-simplified-lead-space .snowflake-simplified-lead-space-background-image__inner{background-image:none !important}body.resource-page div.snowflake-simplified-lead-space .all-white .snowflake-title-line:last-of-type:not(:only-child),body.resource-page div.snowflake-simplified-lead-space-content .snowflake-title-line{text-transform:none;color:#000 !important}body.resource-page .ui-background-04{background-color:#f7f9fa}body.resource-page .ui-background-04 .heading-1 p:last-child{color:var(--ui-01) !important}.snowflake-container-padding-main,.snowflake-container-padding\u003E.aem-container,.snowflake-container-padding\u003Ediv\u003E.responsivegrid\u003E.cmp-container\u003E.aem-container{max-width:100% !important}body.resource-page .snowflake-card-gallery{padding:0 !important}body.resource-page .snowflake-simplified-lead-space-eyebrow .snowflake-title-line{color:var(--ui-01) !important}body.resource-page .snowflake-simplified-lead-space .heading-1{width:98%;padding:0 0 4px 0}@media screen and (min-width:992px){body.resource-page .snowflake-simplified-lead-space-eyebrow .snowflake-title-line{font-size:18px !important}#main-content{padding-bottom:64px}}@media screen and (max-width:991px){.resource-action-bar .snowflake-title-v2{display:none !important}}@media screen and (max-width:767px){body.resource-page .snowflake-simplified-lead-space-eyebrow{margin-bottom:var(--spacing-02) !important}.resource-action-bar .snowflake-button-link-back{display:none !important}.resource-action-bar\u003E.container\u003E.cmp-container\u003E.aem-container{padding:8px 0 24px 0}body.resource-page .snowflake-simplified-lead-space{padding-top:24px;padding-bottom:0}}@media screen and (min-width:480px){body.resource-page .snowflake-simplified-lead-space .heading-1{font-size:44px !important;line-height:40px !important}}@media screen and (min-width:992px){.snowflake-pdfviewer:not(:has(iframe))\u003Ediv{min-height:792px}body.resource-page .snowflake-simplified-lead-space .heading-1{font-size:64px !important;line-height:60px !important}}body.resource-page .snowflake-card-title .snowflake-title-line{text-transform:none;font-weight:800}body.resource-page .snowflake-card.large-element .snowflake-card-inner{border-radius:var(--small-border-radius);border:1px solid #ccc}body.resource-page .snowflake-card img.cmp-image__image{aspect-ratio:2.35/1}body.resource-page .snowflake-card-eyebrow h6 p{background-color:var(--ui-background-08);display:inline-block;padding:3px 6px;border-radius:4px;font-size:12px !important;line-height:16px !important;font-family:Lato,sans-serif !important;font-weight:500 !important;margin-bottom:16px}body.resource-page .snowflake-container-padding-main\u003E.aem-GridColumn,body.resource-page .snowflake-container-padding\u003E.aem-container\u003E.aem-GridColumn,body.resource-page .snowflake-container-padding\u003Ediv\u003E.responsivegrid\u003E.cmp-container\u003E.aem-container\u003E.aem-GridColumn{padding-left:0;padding-right:0}.customer-story-hero__stats .snowflake-title-v2{border-left:4px solid var(--ui-01);margin-top:12px;padding:0 16px 0 32px;width:90%}.customer-story-hero .snowflake-hero-system-eyebrow{margin-bottom:6px}.customer-story-hero__stats .snowflake-title-v2 .heading-3-v2 .snowflake-title-v2-line:first-child{white-space:nowrap;font-size:clamp(32px,5.5vw,48px);line-height:.85}.customer-story-hero__stats .snowflake-title-v2 .heading-3-v2 .snowflake-title-v2-line:not(:first-child){color:var(--text-05) !important;text-transform:none !important;font-size:17px !important;line-height:1.5 !important;font-weight:500 !important;margin-top:8px;font-family:'Lato',sans-serif !important}@media screen and (min-width:768px){.customer-story-hero__stats\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-wrap:nowrap;justify-content:center}.customer-story-hero__stats\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:auto !important;min-width:40%;margin:0 !important;display:flex}.customer-story-hero .snowflake-hero-system-subheadline h2.body-1{font-size:20px !important;line-height:1.5 !important}}@media screen and (min-width:1024px){.customer-story-hero__stats\u003E.container\u003E.cmp-container\u003E.aem-container{justify-content:flex-start}}.snowflake-featured-stat-stat-number h2 span{white-space:nowrap}#customerStoryStats{padding-top:16px}#customerStoryStatsInner\u003E.container\u003E.cmp-container\u003E.aem-container{width:100%}#customerStoryStatsInner\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:50%}#customerStoryStat1,#customerStoryStat2{max-width:100% !important}#customerStoryStat1 .aem-container,#customerStoryStat2 .aem-container{flex-direction:row;flex-wrap:nowrap;align-items:center}#customerStoryStat1 .blue-black-text-color,#customerStoryStat2 .blue-black-text-color{margin-bottom:0 !important;width:auto !important}#customerStoryStat1 .blue-black-text-color h2,#customerStoryStat2 .blue-black-text-color h2{white-space:nowrap;margin-right:16px}#customerStoryStat2{border-left:1px solid #ccc !important;padding-left:24px}@media screen and (max-width:767px){#customerStoryStat1,#customerStoryStat2{padding:0 24px}#customerStoryStat1 .aem-container,#customerStoryStat2 .aem-container{flex-direction:column !important}#customerStoryStat1 .blue-black-text-color h2,#customerStoryStat2 .blue-black-text-color h2{margin-right:0 !important}#customerStoryStatsInner{margin-top:8px}.snowflake-hero-system.hero--workload{text-align:center !important}}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["experiencefragment-banner","experiencefragment-header","responsivegrid","modal_container","experiencefragment-footer","markup_editor"],":type":"wcm/foundation/components/responsivegrid"}},":itemsOrder":["root"],":hierarchyType":"page",":path":"/content/snowflake-site/global/de/resources/ebook/essential-guide-data-analytics-ai/thankyou","isPasswordProtected":false,"analyticsContentTags":[],"analyticsEnabled":true,"coveoConfig":{"pipeline":"snowflake.com","apiKey":"xx335921a6-2a0a-40f2-a167-e390b4766c3d","organizationId":"snowflakecomputingproduction8neljofn","searchHub":"snowflake.com"},"analyticsDebugMode":false,"analyticsData":{"excludeFromAnalytics":false,"subCategory":"","pageType":"document-resource-page-template","templateName":"document-resource-page-template","siteName":"snowflake","pageUrl":"/content/snowflake-site/global/de/resources/ebook/essential-guide-data-analytics-ai/thankyou","language":"de","category":"general","pageName":"Ein Leitfaden für Data Analytics und KI","contentTags":[]},"locale":"de"}
  