An enterprise data catalog is more than a list of datasets. It organizes technical, business, and operational metadata, provides semantic context, and enables discovery, compliance, and analytics across the enterprise. This guide explains key features, implementation best practices, and real-world use cases for regulated industries.
Discover why traditional catalogs are liabilities in the age of automation—and how TopBraid EDG transforms metadata into machine-actionable infrastructure that powers scalable, trusted AI.
Legacy data catalogs weren’t built for AI—and it shows. In this whitepaper, TopQuadrant reveals the hidden metadata gaps holding back AI adoption and how TopBraid EDG delivers the infrastructure autonomous agents need to scale safely and effectively.
The video highlights the Git integration feature in TopBraid EDG, demonstrating seamless incorporation of EDG into existing workflows. Laurie Nelsen, Semantic Solution Engineer, shows how
At EDW, Irene Polikoff presented “Data Cataloging with Knowledge Graphs“. This is part 1 of the series exploring questions we received from attendees.
At EDW, Irene Polikoff presented “Data Cataloging with Knowledge Graphs“. This is part 2 of the series exploring questions we received from attendees.
Read the Q&A from the webinar, “Automating the Mapping of Data Elements to Business Terms”.
Read the Q&A from our recent Webinar, “Data Cataloging with Knowledge Graphs”.
An international bank used TopBraid EDG to catalog and connect data, technical, and enterprise assets at the business and technical levels.
This video shows how TopBraid EDG can catalog your data sources. Cataloging captures all technical metadata and perform data profiling.
Use Cases
Industries
Initiatives
Controlled Vocabularies
