Google BigQuery, Google Cloud’s data warehouse, provides a comprehensive suite of tools to help you control who can access your valuable data and what they can do with it. This blog post dives into the essential principles and practical techniques for managing data access in BigQuery and covers everything from basic Identity and Access Management (IAM) to more advanced features like authorized datasets, views, routines, and materialized views.
We’ll guide you through setting up granular permissions, ensuring your data remains secure and accessible only to authorized individuals and services. This guide will equip you with the knowledge you need to take control of your BigQuery data.
This article has been indexed from DZone Security Zone