Cataloging Kafka in DvSum ML Data Catalog
In this tutorial, we look at how DvSum connects to Kafka streams and extracts metadata into its ML Data Catalog. Topics are extracted as Datasets, Messages are represented as records, and properties of the messages are represented as Data Elements. In addition to this basic information, DvSum also samples the actual messages in the stream to profile, classify and enrich the metadata automatically.
Schedule a demo, today
- Establish a common data understanding
- Accelerate time to value from data
- Enable frictionless and compliant access to data