March 2025
Intermediate to advanced
286 pages
8h 51m
Portuguese (Portugal, Brazil)
Content preview from Arquitetura prática da Lakehouse
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Capítulo 6. Governação e segurança de dados (e IA) na arquitetura Lakehouse
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
Uma plataforma de dados gira em torno de três pilares fundamentais: pessoas, processos e tecnologia. Nos capítulos anteriores, discutimos várias tecnologias para a implementação de uma lakehouse. Este capítulo concentra-se nos aspectos de pessoas e processos das implementações de lakehouse. Este capítulo vai ajudar-te a compreender como a arquitetura lakehouse implementa processos unificados de governação e segurança em todos os teus dados e activos de ML/AI.
Necessita de processos sólidos de governação e segurança para permitir que aqueles que trabalham com dados de lakehouse colaborem, troquem dados de forma segura e mantenham a confiança nos dados. Esses processos de governança e segurança estabelecem a base de um ecossistema de dados robusto.
Começarei por te apresentar os principais conceitos de governação e explicarei por que razão a governação é necessária e como ajuda a melhorar as actividades gerais de gestão de dados. Centrar-nos-emos na qualidade dos dados, na auditoria, na linhagem, na partilha e nas diferentes conformidades que deves ter em conta ao conceber a estratégia de gestão de dados para a tua plataforma. Discutiremos por que razão a segurança dos dados é essencial para as plataformas de dados modernas e como proteger os teus dados quando estão em repouso, em trânsito ...
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