September 2025
Intermediate to advanced
484 pages
14h 54m
Portuguese (Portugal, Brazil)
Content preview from Construindo microsserviços orientados a eventos, 2nd Edition
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Capítulo 7. Desnormalização e evidenciação
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
Observação
Partes deste capítulo foram publicadas anteriormente em Building an Event-Driven Data Mesh (O'Reilly, 2023).
Os eventos geralmente são originados de modelos de dados normalizados, especialmente se você estiver usando a captura de dados de alteração (consulte o Capítulo 6) para carregar dados de tabelas relacionais. Os bancos de dados relacionais resolvem as relações no momento da consulta e são criados com base na premissa de que têm acesso a todos os dados necessários no momento da consulta.
Por outro lado, os microsserviços orientados por eventos dependem de dados fornecidos por eventos e tendem a funcionar melhor quando os dados necessários estão todos dentro do próprio evento. A realidade é que a semântica das junções de streaming é muito mais complexa do que a de um conjunto de dados estáticos. Embora existam estruturas de streaming que possam resolver as uniões de streaming, elas tendem a ser mais lentas e mais caras do que aquelas para conjuntos de dados estáticos. As discussões sobre as estruturas de streaming que oferecem suporte a uniões de streaming são abordadas com mais detalhes nos Capítulos 12, 13 e 14.
Eventificação é um padrão de implementação para desnormalizar e remodelar fluxos altamente relacionais em formas mais adequadas para consumidores orientados por eventos. O objetivo final é reduzir ...
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