Amazon SageMaker Lakehouse unifies all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. Bring data from operational databases and applications into your lakehouse in near real time through zero-ETL integrations. Additionally, access and query data in-place with federated query capabilities across third-party data sources.
SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg–compatible tools and engines. Secure your data in the lakehouse by defining fine-grained permissions that are enforced across all analytics and machine learning (ML) tools and engines.
Amazon SageMaker Lakehouse – https://go.aws/3Ygydzu
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