Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse
AWS News Blog
AWS has announced the general availability of Amazon SageMaker Lakehouse, a new capability that unifies data across different storage platforms to simplify analytics and AI/ML workflows.
- Unifies data across Amazon S3 data lakes and Amazon Redshift data warehouses
- Addresses data fragmentation by enabling access to data from multiple sources
- Supports fine-grained, centralized data permissions across AWS services
- Offers zero-ETL data integration from operational databases and applications
- Provides flexible querying options using Athena, Redshift, and Jupyter Lab notebooks
SageMaker Lakehouse aims to simplify data management, reduce data duplication, and enable more efficient analytics and machine learning projects by creating a unified data environment.
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