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Data Mesh: Intro, Architectural Basics & Implementation

Organizations need to strike a balance between delivering data access for developers–so they can innovate faster and accelerate the onboarding of use cases–and data security, protecting the data to meet enterprise compliance and regulatory standards. When distributed teams are able to discover, understand, and trust their data, they can accelerate development of the real-time experiences that drive differentiation and increase customer satisfaction while upholding strict compliance requirements. Stream Governance is the key to fostering the collaboration and knowledge sharing necessary to become a data-centric business while remaining compliant within an ever-evolving landscape of data regulations.

Schema Registry allows teams to define and enforce universal data standards while Stream Lineage provides a GUI of data streams and data relationships, showing how data is transformed from source to destination. Finally, once data products are created, they need to be discoverable. Stream Catalog publishes data streams, its specifications, who made it, etc. in a place where people can discover and use it.

Stream Governance

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