Cloud Native Geospatial Analytics with Apache Sedona: A Hands-On Guide for Working with Large-Scale Spatial Data - Marjane Mall - Image 1
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Cloud Native Geospatial Analytics with Apache Sedona: A Hands-On Guide for Working with Large-Scale Spatial Data

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Livraison entre le Vendredi 10 juillet 2026 et le Samedi 11 juillet 2026

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Marque : GENERIC
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Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative distributed computing system, designed specifically for spatial data, has diverse applications in fields such as mobility, telematics, agriculture...

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Description produit

Marque
GENERIC
Titre principal
Cloud Native Geospatial Analytics with Apache Sedona: A Hands-On Guide for Working with Large-Scale Spatial Data
Editeur
O'Reilly Media
Type de produit
paperback
Présentation du livre
paperback
Release date
1/13/2026 12:00:00 AM
Langue d'origine
English
ISBN
1098173996
Dimensions
7 x 2 x 9.19 inches
Nombre de pages de livre
336 pages
Langue - Librairie
English
Résumé
Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative distributed computing system, designed specifically for spatial data, has diverse applications in fields such as mobility, telematics, agriculture, climate science, and more. This book serves as your guide to leveraging this tool, along with other technologies, to unlock the potential of geospatial analytics.Authors Paweł Tokaj, Jia Yu, and Mo Sarwat provide practical solutions to the challenges of working with geospatial data at scale. Ideal for developers, data scientists, engineers, and analysts, this guide uses real-world examples to help you integrate Python data ecosystems, apply machine learning, build geospatial data lakehouses, and handle modern geospatial data formats like GeoParquet.Understand how Apache Sedona helps data practitioners address challenges with geospatial dataLearn how to run Apache Sedona, both locally and in cloud environmentsEfficiently load, query, and analyze geospatial datasets using spatial SQLEmploy machine learning techniques to derive strategy-defining insights from spatial dataManage and optimize large-scale geospatial data within a data lakehouse architecture Read more
Auteur(s)
Pawel Tokaj, Jia Yu, Mo Sarwat
Date de parution
1/13/2026 12:00:00 AM