November 2024
Intermediate to advanced
522 pages
15h 32m
French
Content preview from Google BigQuery : Le guide définitif
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Chapitre 10. Administration et sécurisation de BigQuery
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L'une des raisons d'utiliser un produit serverless entièrement géré comme BigQuery est de profiter de l'infrastructure de sécurité des services de cloud public. Dans Google Cloud Platform (GCP), les données sont cryptées au repos et en transit, et l'infrastructure de service d'API n'est accessible que par des canaux cryptés. Pour accéder aux ressources BigQuery, les utilisateurs et les applications doivent être authentifiés et autorisés à l'aide de la gestion des identités et des accès. Tu peux effectuer cette administration (des utilisateurs, des tables, des travaux, des vues, etc.) en utilisant l'interface utilisateur web BigQuery (UI), en utilisant l'outil de ligne de commande bq ou en utilisant l'API REST.
Dans ce chapitre, nous abordons la manière dont l'infrastructure de BigQuery est sécurisée, la configuration de Cloud IAM et une série d'outils d'administration que tu utilises pour surveiller les travaux et autoriser les utilisateurs. Nous terminons ce chapitre par une discussion sur la prise en charge par BigQuery d'une variété d'outils que tu pourrais être en mesure d'utiliser pour t'aider à répondre à tes besoins en matière de réglementation et de conformité, sur la base des fondations solides établies par les mesures de sécurité de l'infrastructure, la gestion des identités et des accès, ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.