One Year in a Data Mesh at PayPal
summary
Claims a homegrown data mesh at PayPal delivers faster, governed analytics by treating domain-aligned data quanta as products with built-in discovery and observability. Prototype ships in May and integration targets production early December after a January kickoff. Platform uses self-service APIs, catalogues, access-request workflows, and plans for synthetic data for development. Governance runs as federated computational governance: central policies plus team-level ownership, not a single bottleneck, and it is already reducing friction.
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chapters (12)
- 0:00PayPal data mesh journey
- 1:16Speaker’s role
- 4:08Why PayPal adopted data mesh
- 8:05Data mesh architecture
- 13:26Implementation progress
- 16:20Beyond analytics apps
- 19:40Five-year impact
- 23:56Four principles
- 37:48Security and governance
- 42:06Use cases
- 45:35GDPR and deletion
- 47:21Q&A
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