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Online Talk

How to Build a Data Mesh in Confluent Cloud with Stream Governance

Available On-demand

Ready to modernize your data strategy? Join Confluent for a discussion and demo that outlines the power of a data mesh on Confluent Cloud.

In this webinar, you’ll learn how to implement the four key principles of a data mesh with Confluent Cloud and its Stream Governance capabilities and how to ensure high data quality, discoverability, and compatibility for your real-time Apache Kafka® data streams.

Confluent’s product team will also showcase the latest Stream Governance features that enable you to safely democratize access to Kafka data streams and accelerate the development of real-time data products for your organization.

Register now and learn how to:

  • Ensure data integrity and compatibility, quickly resolve data quality issues, and simplify schema evolution for your Kafka topics with Schema Registry
  • Enhance data discovery and seamlessly request access to data streams with Data Portal, the new self-service interface powered by Stream Catalog
  • Simplify exploration and troubleshooting of complex data streams with real-time and point-in-time Stream Lineage maps


Olivia Greene

Senior Product Marketing Manager

Olivia Greene is a senior product marketing manager at Confluent, where she is responsible for the messaging and go-to-market for Stream Governance. Prior to Confluent, she led programs and go-to-market initiatives across infrastructure, storage, and edge technologies at Red Hat.

David Araujo

Director of Product Management

David Araujo is the Director of Product Management for Stream Governance at Confluent. As an engineer turned product manager, over the years he has worked across multiple industries and continents, mostly in the data management and strategy space. He holds a master’s and bachelor’s degree in computer science from the University of Evora in Portugal.

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Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices