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","lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--fcadecbf-8567-411f-b545-75a1d3c23bae/default-simplified-lead-space.png?quality=85&preferwebp=true","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-24a5888d9d",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container",":items":{"marketo_container":{"id":"marketo-container-79c4c8b8fc","marketo_content_container":{"layout":"SIMPLE","id":"container-55117f73a1",":type":"snowflake-site/components/marketo-container/marketo-content-container",":items":{"text":{"id":"text-8d579a67fc","text":"\u003Cp\u003ECom a IA se tornando parte integrante de todos os negócios, os dados 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Nele, você vai descobrir:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003EComo garantir integridade e governança transacionais adotando padrões e arquiteturas abertas, como Data Lakehouse e Apache Iceberg™.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EEstratégias para modernizar pipelines herdados, integrando cargas de trabalho Spark existentes a um mecanismo gerenciado, o que leva à otimização de desempenho e à redução significativa de custos.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EComo criar pipelines eficientes, com orientação sobre quando escolher ETL versus ELT ou em lote versus streaming e como desenvolver para uma performance em tempo real com excelente custo/benefício.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EOs princípios do DataOps para simplificar a gestão do ciclo de vida dos dados, garantir informações verificáveis e de alta qualidade e reduzir o tempo de inatividade do pipeline.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EMétodos práticos para gerenciar todas as modalidades de dados (estruturados, semiestruturados e não estruturados) em uma única plataforma unificada para que as equipes de IA possam passar da prova de conceito à produção.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EAbrangendo tudo, desde o básico até as práticas recomendadas, esta nova versão do Guia essencial da engenharia de dados oferece um plano de ação claro para ajudar a reduzir a quantidade de ferramentas empregadas, melhorar a confiabilidade e preparar seus dados, sua organização, para a 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