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Data Product Studio with executable data contracts
- Problem: Teams publish tables and call them “data products,” with no owner, SLA, quality guarantee, or versioning.
- Concept: A first-class data product object in the AIDP Master Catalog that bundles datasets, a semantic definition, an owner, SLAs, quality rules, and access policy into a versioned contract. Contract breaches (schema drift, freshness misses) block publication and notify consumers.
- Why AIDP: The catalog, Spark/Delta pipelines, and Fusion Data Intelligence sit on one platform, so the contract can be enforced at pipeline runtime rather than just documented.
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