Building High-Quality and Trusted Data Products with Databricks
Summary
Building enterprise-ready data products requires pairing dedicated product ownership and upfront data contracts with end-to-end quality controls. Practitioners can operationalize this lifecycle on Databricks by validating pipelines with Delta Live Tables expectations, automating quality alerts with Lakehouse Monitoring, and centralizing governance and documentation in Unity Catalog.
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