Data Mesh, Data Fabric and DataOps; what should you choose?
summary
Region Skåne handles petabytes of medical imaging and aims for near‑real‑time updates (they target five minutes and push toward one), so they combine a relational DB for low latency with a data lakehouse for big data. They adopt everything is data products and a metadata‑driven architecture, build a DSL that auto‑generates notebooks, stored procedures, configs and infrastructure code, and ship a VS Code extension. They use a bronze/silver/gold medallion layout, run production workloads, and keep legacy warehouses while migrating gradually.
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