Finding the right data assets in large enterprise catalogs can be challenging, especially when thousands of datasets are cataloged with organization-specific metadata. Amazon SageMaker Unified Studio now supports custom metadata search filters. You can filter catalog assets using your own metadata form fields like therapeutic area, data sensitivity, or geographic region rather than relying only on free-text search. Custom metadata forms are structured templates that define additional attributes that can be attached to catalog assets.
In this post, you learn how to create custom metadata forms, publish assets with metadata values, and use structured filters to discover those assets. We explore a healthcare and life sciences use case. A research organization catalogs metrics in Amazon SageMaker Catalog using custom metadata forms with fields such as Therapeutic Area and Sample Size. Researchers building Machine learning models can now search datasets based on custom…
