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Filter catalog assets using custom metadata search filters in Amazon SageMaker Unified Studio

Big Data Blog



This article announces custom metadata search filters in Amazon SageMaker Unified Studio, enabling users to discover catalog assets using structured filters based on organization-specific metadata fields.

  • Filter catalog assets using custom metadata form fields like therapeutic area or data sensitivity
  • Combine multiple filters for precise queries across hundreds of cataloged assets
  • Support for date range filters with on, before, after, and between operators
  • Filter configurations persist across browser sessions but aren't shared across devices
  • SearchListings API enables programmatic asset filtering with same capabilities
  • Best practice: define metadata forms before publishing assets at scale

Custom metadata search filters streamline data discovery in large enterprise catalogs by allowing researchers and analysts to construct precise queries without manual scanning through broad result sets.



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