Rethinking Data Catalogs

Dynamic ML-Augmented Data Catalogs with Active Metadata

Data catalogs are a critical part of any data (and metadata) management strategy: as the complexity of data ecosystems and
the volume of data flowing through them grows, the traditional approach to a data catalog needs to evolve.

Rethinking data cataloging requires deeper context, breadth of data source coverage, and orchestrated automation to map and catalog sensitive & personal data with deep data insight - incorporating active metadata, direct and inferred attributes, and classifiers.

Download the whitepaper to learn: 

  • What the future of data catalogs looks like
  • How to inventory distributed & siloed data assets
  • How to leverage Active Metadata in your data catalog

Learn More About Cataloging with Active Metadata