M2V3 Access Controls To Protect Data In AWS

What You’ll Learn:

1. User Management and Single Sign-On Integration:
   • Quickly add new users through the UI or integrate your existing single sign-on system to maintain a unified list of users, roles, and groups.
2. Apache Ranger Integration for Fine-Grained Access Control:
   • Define detailed access controls in Hive, including row-level filtering and column masking, ensuring data is only accessible to authorized users.
3. Role-Based Access Controls:
   • Utilize role-based access controls to create custom roles with specific resource permissions, enhancing security and operational efficiency.
4. Granular Access Permissions:
   • Set granular access permissions for clusters and notebooks, ensuring users only access what they need.
5. Special Roles for Data Security:
   • Implement special roles like the Data Preview role and Service User to further secure data access and share authentication tokens within teams.
6. AWS IAM Roles for Enhanced Security:
   • Use AWS IAM roles, a best practice for accessing AWS resources, providing a secure alternative to IAM keys.
7. Configuring Multiple IAM Roles:
   • Secure your data further by configuring service and secondary IAM roles for different levels of access to Amazon S3 buckets.
8. Cross-Account IAM Roles:
   • Enable cross-account IAM roles for comprehensive storage and compute access, with the option to override user access modes for finer control.
9. Built-in Asset Support for Data Privacy:
   • Meet regulatory requirements with built-in asset support, managing data life cycles to ensure reliability, quality, and integrity.