March 2025
Beginner to intermediate
260 pages
7h 25m
Portuguese (Portugal, Brazil)
Content preview from Bancos de dados de streaming
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Capítulo 8. Zero-ETL ou Quase-Zero-ETL
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No Capítulo 7, apresentamos as bases de dados híbridas emergentes que fornecem soluções alternativas para suportar a análise em tempo real. Estes sistemas reduzem a infraestrutura e tornam os dados mais acessíveis às cargas de trabalho analíticas. Como os sistemas híbridos convergem sistemas que são tradicionalmente distribuídos, supõe-se que os sistemas híbridos se inclinam para um sistema monólito. Os sistemas monólitos são normalmente conhecidos pela falta de modularidade e escalabilidade na execução de cargas de trabalho de dados.
Ironicamente, a quebra de um sistema de dados monólito vai fazer-nos voltar a decompor uma base de dados e virá-la do avesso para escalar especificamente os componentes individuais. Esta não é necessariamente uma solução negativa. Neste livro, propusemos colocar esses sistemas de volta na base de dados para reduzir a complexidade e o custo, que são tradicionalmente associados a grandes sistemas distribuídos.
A ETL é a forma como movemos os dados de sistema para sistema, transformando-os ao longo do caminho. Até agora, usámos uma forma de ETL chamada streaming SQL. Neste capítulo, falaremos sobre como equilibrar complexidade e escalabilidade na implementação do ETL, analisando os sistemas e padrões existentes usados atualmente para distribuir e escalar cargas de trabalho de dados.
Modelo ETL ...
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