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How to Find, Share, and Organize Your Data Streams with Stream Catalog

Blog post from Confluent

Post Details
Company
Date Published
Author
David Araujo, Olivia Greene, Ahmed Saef Zamzam, Robert Yokota, Weifan Liang, Prabha Manepalli
Word Count
1,133
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

The text discusses the Confluent Stream Catalog, which is a centralized view of metadata for data-in-motion in modern data stacks. It helps organizations scale and govern their Kafka and real-time data streaming by providing features like tracking all metadata about data-in-motion, tagging or classifying entities, and augmenting entities with business metadata. The Confluent Stream Catalog uses Apache Atlas for its entity-relationship model and supports REST API and newly released GraphQL API for searching schemas and their components. It is one of three pillars among the Stream Governance offerings at Confluent, along with Stream Lineage and Stream Quality. The text also mentions the general availability of Confluent Platform 7.7 and its latest key features, including enhanced security with OAuth support and integration with Amazon OpenSearch using OpenSearch Ingestion.

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