This whitepaper provides practical guidance on implementing Data as a Product using Microsoft Fabric and Purview. It explains how separating data platform and data product responsibilities enables domain teams to innovate while maintaining governance and consistency. The document introduces a multi-plane data platform model that balances autonomy, security and interoperability. It highlights how Fabric’s shared storage and Purview’s governance capabilities support discoverability, lineage and access control. Through best practices and architectural guidance, the paper shows how organizations can scale data products, accelerate AI use cases and maximize value from modern data platforms.

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