Discover and Govern Snowflake Data with SageMaker Unified Studio
Amazon SageMaker Unified Studio now integrates with Snowflake, enabling direct data discovery and governance across hybrid data environments. This integration allows users to catalog Snowflake tables, apply data quality rules via AWS Glue Visual ETL, and publish validated assets to the SageMaker Catalog without data movement. It significantly reduces the time for cataloging and validating federated data from days to minutes, addressing governance gaps and duplicated efforts. This capability benefits data engineers and architects managing distributed data estates, ensuring consistent governance and trusted data for analytics and machine learning.
Features (1) ›
- Add the Datazone DQ Result Sink transform to your job
https://aws.amazon.com/blogs/big-data/discover-and-govern-snowflake-data-using-sagemaker-unified-studio/
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