Cloud Native Geospatial Analytics with Apache Sedona

A Hands-On Guide for Working with Large-Scale Spatial Data

Navigating the complexities of large-scale spatial data can be daunting. Apache Sedona is an innovative distributed computing system designed specifically for spatial data, with diverse applications in mobility, telematics, real estate, agriculture, climate science, financial services, and more.

Authors Pawel Tokaj, Jia Yu, and Mo Sarwat provide practical solutions for the challenges of working with various types of geospatial data at scale. This guide will help you:

• Learn how to install and run Apache Sedona, both locally and in cloud environments
• Efficiently load, query, and analyze geospatial datasets using Spatial SQL as part of large-scale data pipelines and Spatial ETL processes
• Employ ML techniques to derive strategy-defining insights from spatial data
• Manage and optimize large-scale geospatial data within a data lakehouse architecture 

Ideal for developers, data scientists, and engineers, this O'Reilly book offers real-world examples of how to leverage Apache Sedona, along with other technologies, to unlock the potential of geospatial analytics at planetary scale.