May 8, 2024, 5:54 a.m. | Vyacheslav Efimov

Towards Data Science - Medium towardsdatascience.com

Efficient geodata management for optimized search in real-world applications

Introduction

Google Maps and Uber are only some examples of the most popular applications working with geographical data. Storing information about millions of places in the world obliges them to efficiently store and operate on geographical positions, including distance calculation and search of the nearest neighbours.

All modern geographical applications use 2D locations of objects represented by longitude and latitude. While it might seem naive to store the geodata in the …

applications big data data design examples geodata geohash geospatial getting-started information management maps modern popular search software development store system-design-interview them uber world

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US