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Data Products Best Practices

Data product best practices improve trust and adoption through named ownership, versioned schemas, continuous quality checks, catalogs, and realistic SLEs.

In the full article

  1. Why does a data product need a named owner?
  2. How should teams version schema contracts?
  3. Which data quality checks should run continuously?
  4. What should data product documentation include?
  5. How do catalogs and SLEs enable data self-service?
  6. Key takeaways
  7. How Hyperlake helps
  8. Frequently asked questions

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