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IA"],":type":"snowflake-site/components/title"},"image":{"id":"image","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--fcadecbf-8567-411f-b545-75a1d3c23bae/default-simplified-lead-space.png?quality=85&preferwebp=true","lazyEnabled":true,"alt":"Long exposure top down view of people walking on a pavement ","height":"403","width":"1280",":type":"snowflake-site/components/image"},":type":"snowflake-site/components/simplified-lead-space"},"container":{"columnClassNames":{"marketo_container":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-d5ab2d4945",":type":"snowflake-site/components/container",":items":{"marketo_container":{"id":"marketo-container-b08495e8d7","marketo_content_container":{"layout":"SIMPLE","id":"container-240cd472e7",":type":"snowflake-site/components/marketo-container/marketo-content-container",":items":{"text":{"id":"text-aa9bd16795","text":"\u003Ch4\u003EDiseñe su arquitectura para tener el control de sus datos. Utilice cualquier motor y acelere la inteligencia artificial (IA) con un lakehouse basado en la sencilla interoperabilidad de Snowflake.\u003C/h4\u003E\r\n\u003Cp\u003EA medida que las empresas pasan de la fase de experimentación con la IA a la de producción, muchas descubren que su mayor limitación no son los modelos en sí, sino la arquitectura de datos subyacente en la que se basan.\u003C/p\u003E\r\n\u003Cp\u003ESe trata de un problema de fragmentación derivado de la limitada interoperabilidad entre motores y herramientas. Cuando los equipos no pueden trabajar con los datos allí donde se alojan, recurren a arquitecturas costosas y complejas basadas en la copia de datos, lo que solo contribuye a la proliferación de herramientas, a una gobernanza fragmentada y a un aumento de los costes de ingeniería y almacenamiento.\u003C/p\u003E\r\n\u003Cp\u003EPara los agentes de IA, la fragmentación y la duplicación de datos pueden ser catastróficas. Les obliga a buscar y reconstruir constantemente la comprensión semántica, lo que desperdicia tokens y aumenta el coste por consulta. Además, cuando los mismos datos se encuentran en varios lugares, los agentes pueden ofrecer respuestas incorrectas o alucinaciones, lo que pone en riesgo la confianza en los datos y, en última instancia, perjudica la toma de decisiones empresariales, algo inadmisible para el entorno empresarial. \u003C/p\u003E\r\n\u003Cp\u003EPero en Snowflake lo tenemos claro: \u003Cb\u003Ela IA requiere una interoperabilidad total.\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EEn \u003Ci\u003ECreación del lakehouse interoperable\u003C/i\u003E, presentamos un enfoque mejor. Descubra cómo diseñar una arquitectura de lakehouse basada en Apache Iceberg™ y Apache Polaris™ que aumente la preparación para la IA al tiempo que reduce los costes y el esfuerzo de ingeniería. En esta guía se ofrece una visión fundamental de los formatos de tabla abiertos, diferentes enfoques para diseñar su lakehouse y se explica por qué es tan importante poder aprovechar sus datos en cualquier operación desde cualquier motor.\u003C/p\u003E\r\n\u003Cp\u003EEn esta guía práctica, descubrirá lo siguiente:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ECómo conectar datos sin concesiones:\u003C/b\u003E Aprenda cómo los formatos de tabla abiertos como Apache Iceberg sirven de nexo de unión para su patrimonio de datos, lo que le ayudará a evitar la dependencia de un proveedor para llevar sus herramientas a los datos.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ECómo optimizar a escala:\u003C/b\u003E Descubra cómo la ingeniería de datos declarativa, la clonación sin copia y la ingesta automatizada pueden reducir los problemas de infraestructura y acercar a su equipo al modelo ZeroOps.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EGobernanza en la era de la IA:\u003C/b\u003E Descubra cómo un enfoque unificado de la gobernanza, la seguridad y la confianza permite a los equipos de datos pasar de una corrección reactiva a una protección proactiva.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EPatrones arquitectónicos reales: \u003C/b\u003EConozca arquitecturas de lakehouse modernas en las que destaca la interoperabilidad de Snowflake con los principales partners de la nube, como AWS, Microsoft Azure y Google Cloud.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ECasos de negocio demostrados:\u003C/b\u003E Descubra cómo líderes del sector como \u003Cb\u003EGoldman Sachs, Affirm \u003C/b\u003Ee\u003Cb\u003E Indeed\u003C/b\u003E ya obtienen retorno sobre la inversión (ROI) al modernizar sus fundamentos de datos con lakehouses creados en Snowflake.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EUn lakehouse interoperable no solo actualiza su pila de datos, sino que transforma lo que su empresa puede hacer con los datos. Sustituye los sistemas fragmentados por una base conectada, abierta y accesible sin necesidad de mover los datos. Las organizaciones destacadas en este ebook no son excepciones, sino precursoras de lo que es posible cuando la arquitectura de datos deja de ser una limitación y se convierte en un catalizador.\u003C/p\u003E\r\n\u003Cp\u003EUn acceso más rápido a datos de alta calidad, una gobernanza universal y una reducción significativa de los obstáculos cotidianos que frenan el progreso. No se trata de promesas abstractas, sino de resultados tangibles. Es hora de que sus iniciativas de IA pasen de la idea al impacto gracias al marco arquitectónico, y no a pesar de él.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"}},":itemsOrder":["text"]},"marketo_form_container":{"layout":"SIMPLE","id":"container-75aa48e0b8",":type":"snowflake-site/components/marketo-container/marketo-form-container",":items":{"marketo_v2":{"id":"marketo-v2-93e6b021e8","marketoForm":{"successUrl":"form.onSuccess(function(values, followUpUrl) {\nlocation.href = \"https:\\/\\/www.snowflake.com\\/es\\/resources\\/ebook\\/building-the-interoperable-lakehouse-data-strategies-for-ai-leaders\\/thankyou\\/\";\nreturn false;\n});","edit":false,"formId":"48822","hidden":null,"script":null,"values":null},"title":{"id":"title","type":"heading3","lines":["DESCARGAR AHORA"],":type":"snowflake-site/components/title-v2"},"marketoConfigured":true,"formConfigured":true,"serverInstance":"252-RFO-227.mktoweb.com","munchkinId":"252-RFO-227",":type":"snowflake-site/components/form/marketo-v2"}},":itemsOrder":["marketo_v2"]},":type":"snowflake-site/components/marketo-container"}},":itemsOrder":["marketo_container"],"appliedCssClassNames":"snowflake-container"}},":itemsOrder":["simplified_lead_spac","container"],":type":"wcm/foundation/components/responsivegrid"},"modal_container":{"layout":"SIMPLE","id":"container-0e633ca408",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-11a8aa05dd","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/es/site/footer/resource/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"additionalClasses":"sf-footer","columnClassNames":{"markup_editor_copy_c":"aem-GridColumn aem-GridColumn--default--12","container_573483281_":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-08ad5415bf",":type":"snowflake-site/components/container",":items":{"container_573483281_":{"additionalClasses":"sf-footer__bottom","columnClassNames":{"container_112062425":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-418256ce8f",":type":"snowflake-site/components/container",":items":{"container_112062425":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-2475602eea",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-7b94bf5a5d","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-0cfd3a8bb1",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sf-footer__legal-container","columnClassNames":{"text_copy_copy_16360_1777266019":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-054c4178ee",":type":"snowflake-site/components/container",":items":{"text_copy_copy_16360_1777266019":{"id":"text-12bae6db2c","additionalClasses":"sf-footer__legal-links","text":"\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/es/legal/privacy/privacy-policy/\"\u003EAviso de privacidad\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/snowflake-site-terms/\"\u003ECondiciones del sitio\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://info.snowflake.com/2024-Preference-center.html\"\u003EPreferencias de comunicación\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Cbutton id=\"ot-sdk-btn\" class=\"ot-sdk-show-settings\"\u003EConfiguración de cookies\u003C/button\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/es/legal/privacy/privacy-policy/#12\"\u003ENo compartir mi información personal\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/\"\u003EAsuntos legales\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E© 2026 Snowflake Inc. 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