Data Mesh: Beyond the Data Lake
summary
Argues that replacing centralized lakes with domain-aligned data products plus a shared data sidecar yields four concrete principles (domain-driven ownership, self-service platform, product mindset, federated governance) and a platform that enforces PII rules, discoverability, SLAs and pipeline templates. Shows a healthcare example unifying call-center and online claims into a discoverable claims product, claims reduced lead time to create secure discoverable datasets, and notes no single open-source implementation yet.
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chapters (10)
- 0:00Introduction to Data Mesh
- 1:03From Service Mesh to Data Mesh
- 10:03Data Warehouse and Data Lake Challenges
- 20:42Principles of Data Mesh
- 27:31Data as a Product
- 32:34Data Infrastructure as a Platform
- 37:12Governance in Data Mesh
- 41:44Case Study: Medical Claims Domain
- 49:53Resources and Future of Data Mesh
- 52:01Q&A Session
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