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Explore how to efficiently process large-scale geospatial data from OpenStreetMap and Overture Maps Foundation using two powerful Python libraries in this 28-minute conference talk. Discover QuackOSM, a user-friendly library that leverages DuckDB's spatial extension and PyArrow to streamline access and manipulation of OpenStreetMap vector and tags data in GeoParquet format, enabling you to work with country-sized datasets without additional dependencies or lengthy processing times. Learn about OvertureMaestro, a companion library that provides similar functionality for Overture Maps data while utilizing multi-processing and specialized indexing to minimize data retrieval requirements. Understand the inner workings of both libraries and how they integrate DuckDB and PyArrow with the GeoParquet file format to deliver superior performance compared to existing solutions. Gain insights into using these libraries' command-line interfaces for data engineering tasks, including loading data into cloud databases, and see practical applications for your next geospatial project.
