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