How to Use Node Streams to Transform the Largest POI Database

Written by kuwala | Published 2021/06/23
Tech Story Tags: openstreetmap | open-source | javascript | nodejs | opendata | big-data | geospatial | good-company

TLDR 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.via the TL;DR App

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Written by kuwala | Kuwala is an Open Source No Code Data Platform that reduces the friction between BI Analysts and Engineers.
Published by HackerNoon on 2021/06/23