Analyzing geospatial data has become a cornerstone of tackling many of today’s pressing challenges from climate change to resource management. However, storing and processing such data can be complex and hard to scale using common GIS packages. This talk explores how Deloitte and Databricks enable horizontally scalable geospatial analysis using delta lake, H3 integration and support for geospatial vector and raster data. We demonstrate how we have leveraged these capabilities for real-world applications in environmental monitoring and agriculture. In doing so, we cover end-to-end processing from ingestion, transformation and analysis to production of geospatial data products accessible by scientists and decision makers through standard GIS tools.