Accelerate your analytics with Amazon S3 Tables and Amazon SageMaker Lakehouse
Big Data Blog
This AWS blog post introduces the integration of Amazon S3 Tables with Amazon SageMaker Lakehouse, providing a unified approach to data analytics across multiple data sources.
- SageMaker Lakehouse now seamlessly integrates with S3 Tables, supporting Apache Iceberg
- Enables unified access to S3 Tables, S3 buckets, Redshift, DynamoDB, and PostgreSQL
- Supports querying and analyzing data using Redshift, Athena, EMR, and AWS Glue
- Provides fine-grained permissions management through AWS Lake Formation
- Allows data access with Iceberg-compatible tools and engines
The solution demonstrates how organizations can consolidate data from multiple sources, improve data accessibility, and enable advanced analytics and machine learning capabilities with a centralized, secure approach.
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