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