M2V3 Access Controls To Protect Data In GCP

What You’ll Discover:

1. User Management Simplified:
   • Easily add new users through the UI or integrate existing single sign-on systems, maintaining a single list of users, roles, and groups across your environment.
2. Fine-Grained Access Controls:
   • Benefit from integration with Apache Ranger, enabling you to define precise access controls in Hive, including row-level filtering and column masking.
3. Role-Based Access Controls (RBAC):
   • Define custom roles with fine-grained resource permissions, associating users or user groups with specific roles to manage data visibility effectively.
4. Granular Permissions:
   • Set permissions for specific resources such as clusters or notebooks, ensuring that access is tailored to the needs of individual users or groups.
5. Specialized Roles:
   • Create roles with special capabilities like the data preview role, which restricts data access for certain users, enhancing data security.
6. Service User Support:
   • Generate authentication tokens for team use with service users, streamlining API access while ensuring security and control.
7. Asset Support for Regulatory Compliance:
   • Address data privacy requirements with built-in asset support, managing data lifecycles to ensure reliability, quality, and integrity.