{"templateName":"document-resource-page-template","cssClassNames":"resource-page page basicpage","allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"description":"Cómo prepararse para la IA con un motor de analíticas líder que ofrece una relación precio-rendimiento excepcional para todos los tipos de datos.\r\n","language":"es","title":"Guía fundamental de las analíticas de datos","analyticsPageType":"document-resource-page-template","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,":items":{"root":{"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"},"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12",":items":{"experiencefragment-banner":{"id":"experiencefragment-e5c2175bc6","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/es/site/pushdown-banner/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/es/site/pushdown-banner/master.xfmodel.json?callerPage=/content/snowflake-site/global/es/resources/ebook/essential-guide-data-analytics-ai/thankyou"},"experiencefragment-header":{"id":"experiencefragment-c8c35c8c5e","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/es/site/mega-nav-header/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/es/site/mega-nav-header/master.xfmodel.json?callerPage=/content/snowflake-site/global/es/resources/ebook/essential-guide-data-analytics-ai/thankyou"},"responsivegrid":{"columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","container_1290289953":"aem-GridColumn aem-GridColumn--default--12","container_1895513714":"aem-GridColumn aem-GridColumn--default--12"},"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12",":items":{"container":{"layout":"RESPONSIVE_GRID","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","simplified_lead_spac":"aem-GridColumn aem-GridColumn--default--12"},"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-a7c1aa3528",":items":{"simplified_lead_spac":{"id":"simplified-lead-space-3bf1e34a82","title":{"id":"title","type":"display2","lines":["Guía fundamental de las analíticas de datos"],":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?quality=85&preferwebp=true","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"},"container":{"additionalClasses":"resource-action-bar","layout":"RESPONSIVE_GRID","columnClassNames":{"button":"aem-GridColumn aem-GridColumn--default--12","experiencefragment":"aem-GridColumn aem-GridColumn--default--12"},"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-13ffd0f82c",":items":{"button":{"id":"button-3f17b39c4f","showOutboundIcon":true,"buttonLink":{"valid":true,"url":"/en/resources/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-link-back snowflake-button-grey snowflake-button-regular","linkType":"SNOWFLAKE_INTERNAL","text":"Volver al centro de recursos"},"experiencefragment":{"id":"experiencefragment-03a29152c0","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/share-icons/share-icons-default-title/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/share-icons/share-icons-default-title.xfmodel.json?callerPage=/content/snowflake-site/global/es/resources/ebook/essential-guide-data-analytics-ai/thankyou"}},":itemsOrder":["button","experiencefragment"],":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small"}},":itemsOrder":["simplified_lead_spac","container"],":type":"snowflake-site/components/container"},"container_1895513714":{"layout":"RESPONSIVE_GRID","columnClassNames":{"pdfviewer":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"main-content",":items":{"pdfviewer":{"id":"pdfviewer-fdb5a4f52d","defaultViewMode":"FIT_WIDTH","exitPDFViewerType":"CLOSE","clientId":"388314e3f5fb432fbd78e8e576e938c0","reportSuiteId":"","documentPath":"https://www.snowflake.com/content/dam/snowflake-site/es/resource-library/pdfs/ebooks/ebook-essential-guide-to-data-analytics-03_ES.pdf","documentFileName":"ebook-essential-guide-to-data-analytics-03_ES.pdf","showAnnotationTools":false,"showFullScreen":false,"showDownloadPdf":true,"showPrintPdf":true,"type":"FULL_WINDOW",":type":"snowflake-site/components/pdfviewer"},"title_v2":{"id":"title-v2-83d01844a2","type":"heading4","lines":["Descripción general"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text":{"id":"text-6d28991b7d","text":"\u003Ch4\u003EDescubra cómo prepararse para la IA con un motor de analíticas líder que ofrece una relación precio-rendimiento excepcional para todos los datos, tanto si se encuentran en un almacén de datos como si están en un data lake, un data lakehouse o un data mesh.\u003C/h4\u003E\r\n\u003Cp\u003EEn un mundo como el actual, basado en la inteligencia artificial (IA), los datos son el activo más valioso de las organizaciones, pero estas necesitan tener la certeza de estar aprovechando todo su potencial. Poder hacer analíticas de datos en una plataforma de datos e IA sencilla, conectada y fiable es la clave para aprovechar esos datos, tomar decisiones fundamentadas, mantenerse a la vanguardia de la competencia y prepararse para la IA.\u003C/p\u003E\r\n\u003Cp\u003EEn este ebook aprenderá todo lo necesario sobre cómo:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDominar las arquitecturas de datos modernas:\u003C/b\u003E&nbsp;Descubra los avances en materia de gestión de datos, desde los almacenes de datos hasta data lakehouses y data mesh, que le permitirán hacer analíticas sencillas, inteligentes y rápidas mediante una plataforma de datos e IA en la nube.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDejar atrás los sistemas heredados:&nbsp;\u003C/b\u003EModernice todo su ecosistema de datos de forma eficiente a través de la migración de flujos, almacenes de datos, aplicaciones, modelos de aprendizaje automático (ML) e inteligencia empresarial (BI) a una plataforma flexible, escalable, segura y nativa de la nube.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAcelerar la innovación con analíticas basadas en IA:\u003C/b\u003E&nbsp;Descubra cómo una plataforma como Snowflake le permite incorporar sin complicaciones una IA lista para usar, que incluye asistentes basados en large language models (LLM), agentes de datos y funciones de text-to-SQL, para ofrecer experiencias intuitivas y obtener información con mayor rapidez.\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"],":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container snowflake-container-padding"},"container_1290289953":{"layout":"RESPONSIVE_GRID","columnClassNames":{"button":"aem-GridColumn aem-GridColumn--default--12","related_content":"aem-GridColumn aem-GridColumn--default--12"},"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-a37b445fa3",":items":{"related_content":{"id":"related-content-923d161f03","title":{"id":"title","type":"heading1","lines":["Mas Recomendaciones","Para Ti"],":type":"snowflake-site/components/title"},"cards_container":{"layout":"SIMPLE",":items":{"card_0":{"configurationStatus":{"configured":true,"message":""},":type":"snowflake-site/components/card","title":{"lines":["Tendencias de datos 2026: retail y bienes de consumo"],"type":"heading3",":type":"snowflake-site/components/title"},"button":{"id":"button-618619f127","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/es/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":["eBook"],"type":"heading5",":type":"snowflake-site/components/title"},"image":{"id":"image-b7cb99ba1e","height":"1165","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--ca9ba33e-30f2-4287-a41d-a3ff40f1f961/tendencias-de-datos-2026--retail-y-bienes-de-consumo.png?quality=85&preferwebp=true","lazyEnabled":true,"width":"2064",":type":"snowflake-site/components/image"},"type":"small"},"card_1":{"configurationStatus":{"configured":true,"message":""},":type":"snowflake-site/components/card","title":{"lines":["Tendencias de datos 2026: publicidad, medios de comunicación y entretenimiento"],"type":"heading3",":type":"snowflake-site/components/title"},"button":{"id":"button-99d9cc620a","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/es/resources/ebook/data-trends-2026-advertising-media-and-entertainment/thankyou/"},"linkTargetContentType":"DOCUMENT",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL"},"wistia_video_cta":null,"eyebrow":{"lines":["eBook"],"type":"heading5",":type":"snowflake-site/components/title"},"image":{"id":"image-bcad1bab3e","height":"1165","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--af745179-e02c-4e91-8815-40904d5ea714/tendencias-de-datos-2026--publicidad%252C-medios-de-comunicacio%25CC%2581n-y-entretenimiento.png?quality=85&preferwebp=true","lazyEnabled":true,"width":"2064",":type":"snowflake-site/components/image"},"type":"small"},"card_2":{"configurationStatus":{"configured":true,"message":""},":type":"snowflake-site/components/card","title":{"lines":["Tendencias de datos 2026: sanidad y ciencias de la vida"],"type":"heading3",":type":"snowflake-site/components/title"},"button":{"id":"button-09a0e0cff4","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/es/resources/ebook/data-trends-2026-healthcare-and-life-sciences/thankyou/"},"linkTargetContentType":"DOCUMENT",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL"},"wistia_video_cta":null,"eyebrow":{"lines":["eBook"],"type":"heading5",":type":"snowflake-site/components/title"},"image":{"id":"image-992f0a1fbf","height":"1165","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--7610134e-bfe5-47ea-a8c8-98553208dd4a/tendencias-de-datos-2026--sanidad-y-ciencias-de-la-vida.png?quality=85&preferwebp=true","lazyEnabled":true,"width":"2064",":type":"snowflake-site/components/image"},"type":"small"}},":itemsOrder":["card_0","card_1","card_2"],":type":"snowflake-site/components/card/cards-container"},":type":"snowflake-site/components/flexible-card-gallery","appliedCssClassNames":"snowflake-card-gallery-blue-bg"},"button":{"id":"button-e88f9ff05a","showOutboundIcon":true,"buttonLink":{"valid":true,"url":"/es/resources/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-secondary snowflake-button-white snowflake-button-regular snowflake-button-center","linkType":"SNOWFLAKE_INTERNAL","text":"Volver al centro de recursos"}},":itemsOrder":["related_content","button"],":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container-padding ui-background-04"}},":itemsOrder":["container","container_1895513714","container_1290289953"],":type":"wcm/foundation/components/responsivegrid"},"modal_container":{"layout":"SIMPLE","id":"container-a4737da679",":items":{},":itemsOrder":[],":type":"snowflake-site/components/modal/modal-container"},"experiencefragment-footer":{"id":"experiencefragment-1ddb670d7f","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/es/site/footer/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/es/site/footer/master.xfmodel.json?callerPage=/content/snowflake-site/global/es/resources/ebook/essential-guide-data-analytics-ai/thankyou"},"markup_editor":{"id":"markup-editor-826041d07e","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"],":mappedPath":"/es/resources/ebook/essential-guide-data-analytics-ai/thankyou/",":type":"snowflake-site/components/structure/page",":hierarchyType":"page",":path":"/content/snowflake-site/global/es/resources/ebook/essential-guide-data-analytics-ai/thankyou","isPasswordProtected":false,"analyticsContentTags":["snowflake-site:taxonomy/content-type/ebook"],"analyticsEnabled":true,"coveoConfig":{"searchHub":"snowflake.com","pipeline":"snowflake.com","apiKey":"xx335921a6-2a0a-40f2-a167-e390b4766c3d","organizationId":"snowflakecomputingproduction8neljofn"},"analyticsDebugMode":false,"analyticsData":{"excludeFromAnalytics":false,"subCategory":"","pageType":"document-resource-page-template","templateName":"document-resource-page-template","siteName":"snowflake","pageUrl":"/content/snowflake-site/global/es/resources/ebook/essential-guide-data-analytics-ai/thankyou","language":"es","category":"general","pageName":"Guía fundamental de las analíticas de datos","contentTags":["snowflake-site:taxonomy/content-type/ebook"]},"locale":"es"}
  