Connect Snowflake to S3 Tables using the SageMaker Lakehouse Iceberg REST endpoint
Storage Blog
This article explains how to connect Snowflake to S3 Tables using the Amazon SageMaker Lakehouse Iceberg REST endpoint, providing a powerful method for data lake management.
- Leverages Apache Iceberg open table format for interoperability
- Uses AWS Lake Formation for access control and credential management
- Enables querying S3 Tables directly from Snowflake with elastic compute
- Requires creating an IAM role, configuring Lake Formation permissions, and setting up a Snowflake catalog integration
- Demonstrates step-by-step process from table creation in Athena to querying in Snowflake
The solution provides organizations a streamlined approach to build a transactional data lake with improved performance and simplified data access across computing environments.
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