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 three complementary tracks. The fundamentals establish the architectural language; the routing track shows how federated ownership holds together under production load; the orchestration track keeps every spatial product idempotent, observable, and inside its SLA.
Apply domain-driven design to spatial data: define domain boundaries, treat datasets as products with SLAs and data contracts, catalog raster & vector metadata, govern CRS standards, and manage the full product lifecycle.
The decentralized control plane: cross-domain routing, API-gateway mapping, schema contracts, async execution for heavy spatial queries, geocoding fallbacks, zero-trust security, rate limiting, and domain sync protocols.
Keep federated spatial products operable: idempotent Python orchestration with Prefect, Airflow and Dagster, SLA monitoring with Prometheus, autoscaling for tile caches, and distributed tracing across the mesh.