Learn more about Amazon S3 Tables integration with Amazon SageMaker Lakehouse

Amazon SageMaker Lakehouse

Simplify analytics and AI with a unified, open, and secure data lakehouse

What is SageMaker Lakehouse?

Amazon SageMaker Lakehouse unifies all your data across Amazon Simple Storage Service (Amazon S3) data lakes, including S3 Tables, and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. 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. 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.

See it in action

See how you can access unified data from S3 data lakes, S3 Tables, and Redshift data warehouses in SageMaker Lakehouse.

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Benefits

Unify access to all your data

Use your preferred tools and engines, compatible with Apache Iceberg open standard

Secure your data with fine-grained access controls

Use cases

Manage a single copy of data across data lakes and data warehouses

Run near real-time analytics on operational data through zero-ETL integrations

Build a multiwarehouse architecture on Amazon Redshift data warehouse

Next steps

Console

Get started with SageMaker Lakehouse today

Sign in to the AWS Management Console

FAQs