AWS Clean Rooms Spark SQL now supports aggregation and list analysis rules

With today’s launch, AWS Clean Rooms provides additional privacy-enhancing controls to support aggregation and list analysis rules using the Spark analytics engine.

Using AWS Clean Rooms Spark SQL, you and your partners can now manage how your data is used with aggregation, list, and custom analysis rules, running SQL queries with configurable resources based on your performance, scale, and cost requirements. For example, advertisers can use list analysis rules to create targeted audience segments from collective advertiser and publisher data sets without sharing the raw data used to create the segments. Similarly, publishers and their partners can run media planning and campaign measurement analyses across their data sets using aggregation rules to compile joint statistics results, protecting the underlying data of all collaborators. Additionally, you can now update an existing AWS Clean Rooms collaboration to use the Spark analytics engine instead of creating a new collaboration, making it easier to get started with AWS Clean Rooms Spark SQL.

AWS Clean Rooms Spark SQL is generally available in these AWS Regions. AWS Clean Rooms helps companies and their partners more easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. To learn more, visit AWS Clean Rooms.
 

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