Geospatial Data on Databricks

Most organizations capture huge volumes of spatial data, including addresses, coordinates, routes, and catchments, but struggle to operationalize it at scale. Traditional GIS (Geographic Information Systems) tools are powerful but isolated; unlocking value requires integrating spatial analytics directly within your data platform. In this session, we’ll cover: - Geospatial fundamentals on Databricks: understanding geometry vs. geography, coordinate systems, and H3 grids. - Scaling challenges: Combining spatial and business data, processing millions of coordinates efficiently, and maintaining real-time freshness. - Databricks capabilities: How Spatial SQL, Lakeflow, and Unity Catalog enable native spatial processing, federated access, and governed sharing across teams. - Applied use cases: From network optimisation to asset tracking and location-based insights across industries. We'll finish with a live demo, see how raw coordinates become actionable intelligence within the Lakehouse. Why Attend: - Learn how to bring geospatial analytics natively into Databricks. - Discover best practices for scaling spatial workloads efficiently. - Understand how Unity Catalog underpins governance and reusability. - See real-world examples and a live demo in action. Join us to learn how Databricks unifies spatial and analytical workloads, delivering governed, high-performance geospatial insight at enterprise scale. This session will be delivered by Unifeye's CDO and Databricks Champion Bianca Stratulat, and Senior Data Engineers, Jordan Begg and Hasnat Abdul