Data Mesh In Practice – How To Set Up A Data Driven Organization
summary
Case study-backed guidance on rolling out Data Mesh: pilot a simple data product (finance is a good candidate) over about three months, iterate infrastructure as products, and shift pipeline work into domains while keeping a central enablement team for tooling. Track usage metrics (they even tie to usage-based payments) and use interoperability (Hive metastore or Starburst-style virtualization) to avoid metadata sprawl. Cautionary results: overloaded central teams stall work for weeks but a focused cross-team session can resolve issues in ten minutes.
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chapters (7)
- 0:00Introduction and context
- 1:56Data mesh concepts
- 6:57Real-world collaboration
- 13:58Adoption strategies
- 18:05Scaling and infrastructure
- 24:05Selecting technology
- 27:51Pitfalls and best practices
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