Most organisations capture huge volumes of spatial data — addresses, coordinates, routes, catchments — but struggle to operationalise it at scale. Traditional GIS tools are powerful yet isolated; the real value emerges when spatial analytics becomes native to your data platform.
Join us today for a deep-dive into Geospatial Data on Databricks, where we’ll explore how to unify spatial and analytical workloads for governed, high-performance insights.
What we’ll cover:
Geospatial fundamentals on Databricks — geometry vs. geography, coordinate systems, and H3 grids.
Scaling spatial workloads — combining spatial + business data, maintaining real-time freshness.
Databricks capabilities — Spatial SQL, Lakeflow, and Unity Catalog for native processing and governance.
Real-world use cases — from network optimisation to location-based insights.
️ Live demo:
We’ll connect Databricks to Felt and build a Renewable Energy Planning scenario using a public dataset.
️ Hasnat Abdul will guide us from ingestion in Databricks to dynamic mapping in Felt, showing how raw coordinates become actionable intelligence in the Lakehouse.
With special guest Josh Bramall, Solutions Architect at Databricks, joining us to share his perspective on spatial innovation within the Lakehouse and show us in practice
Don’t miss it — register now!
Webinar Link , 12 PM UK time
#Databricks #GeospatialData #Felt #DataEngineering #Lakehouse #RenewableEnergy #Unifeye #AI #SpatialAnalytics #DataPlatform
