Kyle Barron
Kyle is a cloud engineer at Development Seed. He builds open source tools and infrastructure that process and visualize geospatial data. Kyle is particularly excited about cloud-native vector data formats, speeding up Python and JavaScript applications from Rust, spatial indexes, and efficient data pipelines.
Before joining Development Seed, Kyle previously worked as a software engineer at Unfolded and then Foursquare, building geospatial data visualizations on the web for vector and raster data.
Based in New York City, Kyle spends time running in Central Park, exploring the city, and dodging tourists. Kyle is a graduate of University of California, Los Angeles where he received a B.A. in Economics with a minor in Mathematics.
Sessions
Obstore is the simplest, highest-throughput Python interface to Amazon S3, Google Cloud Storage, Azure Storage. This talk will explain what Obstore is, how it differs from existing Python libraries for cloud data access, and how it's being used to speed up cloud-based geospatial workflows.
DuckDB, GDAL, and libraries like Lonboard can now efficiently share large vector data at low cost, thanks to GeoArrow. This talk will explain what GeoArrow is and how to get the best performance when sharing data between these libraries with practical examples.
Interactive visualization is often a precursor to extracting meaningful insights from data. Lonboard provides 30-40x faster performance for visualizing geospatial vector data than other Python libraries, supporting millions of coordinates.