On November 25, 2025, from 11 a.m. to 12 p.m., CASD is organizing a webinar on technologies dedicated to large-scale spatial data processing: we will send the registration link in our next newsletter.
To register (and receive the login link): click here
Apache Sedona will be presented, which extends the capabilities of Apache Spark (as well as Apache Flink and Snowflake) to large-scale spatial data processing. It provides distributed spatial datasets and a spatial SQL query engine that efficiently loads, processes, and analyzes large-scale spatial data on one or more machines.
GeoParquet is an extension of Apache Parquet designed to store geospatial vector data (points, lines, polygons) in a compressed, metadata-rich, column-organized format. It is already supported by many tools (e.g., Apache Sedona, GeoPandas, QGIS, DuckDB, Kepler GL, etc.).
For those who were unable to attend, the replay and supporting documents will soon be available on the CASD DATA TECH Webinar page of our website.
