09-09, 09:00–12:00 (America/Chicago), Harris Stowe
Work with large-scale geospatial data by leveraging Apache Sedona for vector and raster data using Spatial SQL to perform spatial joins, zonal statistics, and raster inference with large datasets that wouldn't be possible on a single machine.
This hands-on workshop will focus on using Apache Sedona for working with large-scale vector and raster data. We'll use Spatial SQL and Python to perform spatial joins, zonal statistics, and raster inference with large datasets that wouldn't be possible on a single machine. We'll also see how cloud-native data formats like GeoParquet, Cloud Optimized GeoTiffs, and Apache Iceberg can help accelerate geospatial data anlysis.
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