AWS Lake Formation extends table permissions to access underlying data in Amazon S3
News
This article announces AWS Lake Formation's new capability to read and write underlying S3 data files for Glue Data Catalog tables using existing table permissions.
- Lake Formation provides temporary, scoped S3 credentials based on table permissions
- SELECT permissions grant read access; SUPER permissions grant read/write access
- Built-in support for Amazon EMR 7.13 and later
- Enables direct file access for Spark jobs, model training, and feature engineering
- Integrates with Apache Spark and Trino via APIs or open source plugin
- All access logged in CloudTrail for unified audit trail
- Available at no additional charge in all Lake Formation regions
Lake Formation now unifies permissions for both SQL queries and direct S3 file access, simplifying data access management.
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