Build Predictive Machine Learning with Flink | Workshop on Dec 18 | Register Now

Online Talk

Data Streaming, Sharing, and Integrity with Stream Governance

Watch Now

Available On-demand

The usage of real-time data and event-driven systems like Apache Kafka® is growing rapidly. To successfully scale their real-time capabilities, organizations need data governance that simplifies data discovery and data access, while maintaining data integrity at scale.

Often, businesses deploy distributed, event-driven microservices built by disparate teams. As the number of data sources grows, it becomes increasingly difficult for anyone to keep track of all the data streams flowing across a business or find ways to maximize the value of those streams.

Join this demo to see how Confluent’s Stream Governance suite delivers a self-service experience that helps all your teams put data streams to work. Discover how features like stream catalog, stream lineage, and stream quality help teams collaborate, uncover more insights, and deliver trusted data streams across the business, all while maintaining compliance and security.