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AWS Clean Rooms adds intermediate tables for SQL queries

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AWS Clean Rooms now supports intermediate tables for SQL queries, enabling multi-step analytical workflows with partners. This feature allows customers to write query results to an intermediate table within a collaboration for reuse in subsequent analyses. It provides increased flexibility for complex workflows, such as building shared ID mapping tables, all while maintaining the privacy boundary of the collaboration. This enhancement is beneficial for publishers and advertisers looking to optimize data analysis costs and performance.

  • →Support for intermediate tables in SQL queries
  • →Enables complex analytical workflows and data reuse
  • →AWS Clean Rooms facilitates secure data collaboration
Features (1) ›
  • Support for intermediate tables in SQL queries

    AWS Clean Rooms now allows customers to write the results of a SQL query to an intermediate table within a collaboration. This enables reuse in subsequent analyses, facilitating multi-step analytical workflows.

Enhancements (1) ›
  • Enables complex analytical workflows and data reuse

    Intermediate tables support complex tasks like reusing joins or building shared ID mapping tables within the privacy boundary of a collaboration. This can reduce costs and optimize performance for downstream analyses.

Notes (1) ›
  • AWS Clean Rooms facilitates secure data collaboration

    AWS Clean Rooms allows companies and their partners to analyze and collaborate on datasets without revealing or copying underlying data. Information on availability regions and further collaboration details is available in linked resources.

Read the original announcement →

https://aws.amazon.com/about-aws/whats-new/2026/06/aws-clean-rooms-intermediate-tables

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