April 2025
Intermediate to advanced
246 pages
7h 48m
Portuguese (Portugal, Brazil)
Content preview from O lago de dados na Cloud
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Capítulo 6. Mergulha profundamente nos formatos de dados
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O design não é apenas o aspeto e o toque. O design é a forma como funciona.
Steve Jobs
Tradicionalmente, os data warehouses são criados em um formato de dados proprietário que eles aproveitam para otimizar os padrões de consulta. Dado o número crescente de cenários que são servidos pelo lago de dados em Cloud, especialmente com o aumento do padrão de arquitetura lakehouse, cada vez mais clientes e fornecedores de soluções estão a investir em capacidades que permitem a execução de consultas semelhantes a armazéns diretamente no lago de dados em Cloud. Isso nos aproxima da promessa de fornecer uma arquitetura que minimiza a necessidade de copiar dados para frente e para trás entre armazenamentos de dados para fins específicos. Essa promessa de um armazenamento de dados sem silos resultou em um número cada vez maior de formatos de dados abertos que permitem a execução de consultas do tipo warehouse diretamente em um armazenamento do lago de dados em Cloud. Neste capítulo, vamos dar uma olhada em três desses formatos: Apache Iceberg, Delta Lake e Apache Hudi. Este capítulo é provavelmente o mais técnico do livro, onde analisamos os formatos em detalhes, incluindo como eles atendem aos cenários para os quais foram projetados. Espero que este capítulo te dê conhecimento suficiente sobre o motivo pelo qual estes ...
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