Data Mesh – Architecture And Insights From The Self-service Platform Boosting Financial Services
summary
Agile Lab builds a self‑serve platform called Data Mesh Boost with a declarative Data Product Specification (YAML on GitHub), a Builder, a provisioner that enforces governance via policy-as-code (qlang), and a marketplace; provisioning is atomic and technology-agnostic through microservice templates. UniCredit uses it internally, on a three‑year journey for a 15M‑client bank with 90k employees, aiming for ~10 production data products by year end, claiming lower TTM, reduced TCO and measurable migration of tactical use cases into interoperable data products.
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chapters (6)
- 0:00Start
- 1:35Why Is an Enabling Platform a Self-Serve Platform So Important When Implementing a Data Mesh
- 6:08Deployment and Provisioning
- 7:08Data Product Provisioner
- 9:48Declarative Version of the Data Product
- 25:31Who Is the Ownership for External Sources
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