Geospatial Data Mesh Fundamentals
Apply domain-driven design to spatial data: define domain boundaries, treat datasets as products with SLAs, catalog raster & vector metadata, and govern the full product lifecycle.
Federated spatial data products, done right.
Enterprise spatial estates are buckling under centralized, monolithic GIS. This is a practitioner's resource for the alternative: a federated geospatial data mesh where domains own their spatial products end-to-end, governed by contracts instead of bottlenecks.
You'll find production-oriented guidance on domain-driven boundaries, product thinking for datasets, policy-driven routing, idempotent Python orchestration, SLA tracking, and compliance — written for data architects, platform engineers, and GIS data stewards.
Start with the conceptual foundations, then move into the routing and ownership patterns that make the mesh resilient at enterprise scale.
The library is organized into two complementary tracks. The fundamentals establish the architectural language; the routing track shows how federated ownership holds together under production load.
Apply domain-driven design to spatial data: define domain boundaries, treat datasets as products with SLAs, catalog raster & vector metadata, and govern the full product lifecycle.
The decentralized control plane: cross-domain routing, API-gateway mapping, schema contracts, async execution for heavy spatial queries, geocoding fallbacks, and domain sync protocols.