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.
Unlock the full potential of your data with DvSum
- Create a unified view of your entire data landscape on Day 1
- Streamline data governance with automatic data classification and enrichment
- Improve data accuracy with integrated data quality and cleansing
- Empower business users to get data insights with no-code self-service data exploration