Streamlining Data Access: Amazon SageMaker's Tag-Based Access Control for Federated Catalogs

The Amazon SageMaker lakehouse architecture now supports tag-based access control (TBAC) for federated catalogs, marking a significant advancement in data access management across AWS services. This enhancement extends beyond the default AWS Glue Data Catalog to include Amazon S3 Tables, Amazon Redshift data warehouses, and federated data sources like Amazon DynamoDB, PostgreSQL, and SQL Server.

Implementation Steps:

• Access AWS Lake Formation Console:
• Log into your AWS Management Console
• Navigate to the AWS Lake Formation service

Create Tags:

• Define key-value pairs for your tags
• Design a tagging strategy that aligns with your organization's data access requirements

Associate Tags:

• Apply tags to databases, tables, or columns
• Ensure tags reflect appropriate access levels and data categories

Configure Permissions:

• Grant permissions to principals (users/roles) based on specific tags
• Set up inheritance rules for automatic permission propagation

Enable User Access: Users can access tagged resources through:

• Amazon Athena
• Amazon Redshift
• Amazon EMR
• Amazon SageMaker Unified Studio

Benefits:

• Simplified permission management through logical grouping
• Automatic inheritance of access controls for new resources
• Scalable permissions across datasets
• Enhanced data sharing capabilities across accounts
• Reduced manual intervention in permission assignments

The feature is available in all commercial AWS Regions and can be implemented using the AWS Management Console, AWS CLI, or AWS SDKs. For detailed guidance, you can refer to the Lake Formation Tags documentation and related blog posts.