AWS Clean Rooms now supports parameters in PySpark analysis templates
News
This article announces support for parameters in PySpark analysis templates within AWS Clean Rooms, enabling more flexible privacy-enhanced data collaboration.
- Create single PySpark templates with dynamic parameter values at job submission time
- Template code remains unchanged while collaborators provide different parameter inputs
- Enables use cases like attribution analysis with dynamic time windows and geographic regions
- Accelerates insights generation for advertising campaigns and media planning
- Simplifies secure data collaboration between organizations on AWS or Snowflake
This feature enhances AWS Clean Rooms' flexibility for privacy-preserving data collaboration without requiring template code modifications.
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