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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Big Data Blog



This AWS blog post introduces Amazon SageMaker Unified Studio, a comprehensive platform for data discovery, sharing, and analysis across multiple data sources while maintaining strict governance and access controls.

  • Enables organizations to connect, share, and query data across different sources without traditional data movement barriers
  • Provides unified access to data through federated and managed catalogs from sources like Amazon S3, DynamoDB, and Amazon Redshift
  • Implements fine-grained access controls and subscription workflows for data sharing between business units
  • Supports automated metadata generation and data asset discovery using semantic search and Amazon Q
  • Eliminates data duplication by allowing query-in-place analytics across varied data sources

The blog demonstrates two scenarios showcasing how different teams can discover, subscribe to, and analyze data assets while maintaining strict governance and eliminating traditional data sharing complexities.



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