How to Use Node Streams to Transform the Largest POI Databaseby@kuwala

How to Use Node Streams to Transform the Largest POI Database

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OpenStreetMap (OSM) is maybe the most extensive open data project for geo-data. It has rich information on points of interest (POIs), such as apartments, shops, or offices, globally. Kuwala created an ETL pipeline to directly download the raw OSM data in the.pbf file format and store the transformed objects in a database. Leveraging Uber’s H3 indexing, you can then easily query those objects with radius or polygon queries.

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