September 2025
Intermediate to advanced
384 pages
12h 6m
Portuguese (Portugal, Brazil)
Content preview from Governança de dados com o Unity Catalog no Databricks
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Capítulo 7. Observabilidade e capacidade de descoberta
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As pessoas gastam de 60% a 80% do seu tempo tentando encontrar dados. Isso representa uma enorme perda de produtividade.
Dan Vesset, vice-presidente do grupo, IDC
Antes de ingressar na Databricks, Kiran trabalhou em uma plataforma de dados local que executava o Apache Spark por quase quatro anos. Um dos principais problemas que ele enfrentou ao executar a plataforma, dando suporte a vários usuários que faziam relatórios regulamentares sobre os dados, foi a qualidade dos dados. Ao trabalhar em casos de uso de processamento de dados quase em tempo real, especialmente aqueles que dependem de sistemas de processamento de mensagens, como o Apache Kafka, Azure Event Hubs ou AWS Kinesis, você agravou ainda mais o problema. O risco de perder uma mensagem em trânsito da fila de processamento de mensagens sem que ninguém soubesse de sua ausência era excepcionalmente alto. Quase 95% das vezes, os problemas eram atribuídos à baixa capacidade de descoberta de dados na plataforma de dados. A equipe de suporte desenvolveu, implantou e monitorou ferramentas personalizadas para evitar problemas de perda de dados. A equipe usou várias ferramentas de monitoramento para diferentes aspectos da plataforma, o que complicou o processo geral. A criação e a implementação dessas ferramentas ajudaram a reduzir os problemas com os ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.