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AWS Clean Rooms now supports intermediate tables for SQL

AWS Clean Rooms now allows storing SQL query results as intermediate tables within a collaboration, enabling multi-step analytical workflows while preserving privacy.

AWS Clean Rooms now supports intermediate tables for SQL queries, offering increased flexibility for organizations running complex, multi-step analytical workflows with their partners. With this launch, customers can write the results of a SQL query to an intermediate table within a collaboration for reuse in subsequent analyses. Intermediate tables enable multi-step analytical workflows-from reusing complex joins to building shared ID mapping tables for downstream analyses-all within the privacy boundary of the collaboration. For example, a publisher and an advertiser can join their first-party data to build an ID mapping table in a collaboration, then reuse it across reach, frequency, and attribution analyses, reducing costs and optimizing performance for the subsequent analyses. AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data.

Read the original AWS announcement

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