🚀 Geospatial Data Meets Databricks + Felt: Turning Coordinates into Business Insight
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 tomorrow 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
