Enforce table level access control on data lake tables using AWS Glue 5.0 with AWS Lake Formation
Big Data Blog
This article discusses the new Full-Table Access (FTA) control feature in AWS Glue 5.0 with AWS Lake Formation, which enables more flexible and performant table-level access control for data lakes.
- AWS Glue 5.0 now supports Full-Table Access (FTA) control in Apache Spark based on Lake Formation policies
- Enables read and write operations on Lake Formation registered tables
- Supports complex Spark operations including RDDs, custom libraries, and user-defined functions
- Allows DML operations like CREATE, ALTER, DELETE, UPDATE, and MERGE INTO on Hive and Iceberg tables
- Provides table-level security with lower performance overhead compared to fine-grained access control
The article provides a detailed walkthrough of migrating an AWS Glue 4.0 job to AWS Glue 5.0, demonstrating how to configure Lake Formation permissions and modify Spark configurations for native FTA support.
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