All news with #lake formation tag

Amazon EMR Adds Spark FGAC and Glue Data Catalog Views

🔒 Amazon EMR on EC2 now supports Apache Spark native fine-grained access control (FGAC) through AWS Lake Formation and adds support for AWS Glue Data Catalog views. These capabilities let administrators define and enforce granular Lake Formation policies once and apply them consistently to Spark jobs and interactive sessions, reducing administrative overhead and security risk. Access checks support named resource grants, data filters, and tag-based controls and are logged in AWS CloudTrail for auditing.

Amazon SageMaker Lakehouse Adds Tag-Based Access Control

🏷️ Amazon SageMaker lakehouse now supports tag-based access control (TBAC) across federated catalogs, extending capability beyond the default AWS Glue Data Catalog to Amazon S3 Tables, Amazon Redshift, and federated sources such as DynamoDB, PostgreSQL, and SQL Server. TBAC lets administrators group resources with tags, grant access based on those tags, and rely on tag inheritance so new tables automatically receive fine-grained controls. Administrators can create and apply tags via the AWS Lake Formation console and grant tag-based permissions to principals; tagged resources are then usable through Amazon Athena, Amazon Redshift, Amazon EMR, and SageMaker Unified Studio. The feature is available in all commercial AWS Regions via the Console, AWS CLI, and SDKs, with supporting Lake Formation Tags documentation and a blog post.