BigQuery GIS
Spatial SQL at warehouse scale — powerful for analytics layers that don't need an enterprise geodatabase.
Why Google Cloud
Analytics-native cloud
GCP shines when geospatial joins warehouse-scale SQL. BigQuery geography types and Cloud Run services are a different shape than DynamoDB counters or ArcGIS Server farms.
Maps Platform adjacency
Google Maps and GCP billing/projects often travel together. Knowing both sides helps when products span map UX and cloud data.
Cloud Run simplicity
Containerized geospatial APIs without managing clusters — a clean contrast to Lambda and App Service.
Multi-cloud judgment
The point of this lab isn't GCP-only loyalty — it's knowing when BigQuery beats Athena, or when Maps Platform beats MapLibre.
Built on GCP
Playground projects
BigQuery and Cloud Run demos will land here as I expand beyond AWS-first labs.
BigQuery GIS
Spatial SQL notebook
Annotated BigQuery geography queries — buffers, joins, and tiling exports for web maps.
Coming soonCloud Run
Geo API on Cloud Run
A tiny geospatial API container — health checks, GeoJSON responses, and IAM notes.
Coming soonPlatform labs
Same pattern, more stacks
Mapping and cloud playgrounds — each hub explains why I use the platform and links demos as they ship.