When considering access control in BigQuery, what process should be avoided for simplicity and efficiency?

Implementing numerous permission settings across datasets can lead to excessive complexity and reduced efficiency in access control management within BigQuery. This approach requires maintaining and monitoring a large number of individual permissions, which can quickly become cumbersome, especially as the number of users and datasets increases.

When you have numerous permissions scattered across various datasets, tracking who has access to what becomes challenging. This can lead to potential errors in permission assignments, security vulnerabilities, or even access issues when users are not granted the rights they require or, conversely, when they are given more access than necessary.

Choosing a more streamlined approach, such as centralized access control or role-based access, can significantly increase efficiency and maintain security without getting bogged down by an overwhelming number of individual settings. Simplifying access control mechanisms allows for easier management, auditing, and compliance, which is essential for organizations handling sensitive data.