Summary:- The speaker introduces themselves as a co-founder and Chief Architect of We Robots.- They discuss the challenges of analyzing geospatial data due to its large scale.- They introduce Apache Sedona as an open-source computing engine for processing geospatial data.- Sedona provides distributed query algorithms and APIs for different programming languages.- The speaker demonstrates examples of spatial SQL queries that can be performed in Sedona.- They explain the importance of correctly calculating distances between geographic locations.- Sedona also supports raster data processing, such as analyzing temperature observations.Highlights:- Apache Sedona is revolutionizing geospatial data analysis with its scalable and efficient processing capabilities.🌍 #GeospatialData 📊 #BigData 💻 #OpenSource 🌐 #ApacheSedona 🗺️ #SpatialSQL 📐 #Distances 🌡️ #RasterData 🌍 #ClimateChange