Data governance is essential for organizations to maximize the value of their data assets through processes, policies, and practices.Amazon DataZone, a service on AWS, allows centralized discovery, control, and evolution of data schemas for data at rest.Managing real-time data streams requires adaptations to conventional data governance frameworks.Extending Amazon DataZone to support streaming data like Amazon MSK involves using custom asset types and authorizers.The Data Solutions Framework on AWS accelerates the implementation of streaming data governance in Amazon DataZone.Key components for governing streaming data in Amazon DataZone include representing Kafka topics, managing authorization flows, and updating metadata.Data sources for Amazon MSK clusters can be created in Amazon DataZone through AWS Glue Schema registry.Custom authorization processes are needed for managing access to unmanaged assets like Amazon MSK topics.The subscription grant process involves metadata collection, authorization updates, and internal metadata updates in Amazon DataZone.The solution utilizes AWS CDK and DSF to implement streaming governance, allowing seamless data asset registration and access control.