Cloud Native Geospatial Analytics with Apache Sedona

A Hands-On Guide For Working With Large-Scale Spatial Data

Pawel Tokaj, Jia Yu, Mo Sarwat (Autoren)

Buch | Softcover

300 Seiten

2025
O'Reilly UK Limited (Verlag)
978-1-0981-7399-9 (ISBN)

Noch nicht erschienen (ca. Dezember 2025)
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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, 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 Pawel 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, construct geospatial data lakehouses, and handle modern geospatial data formats like GeoParquet.

Understand how Apache Sedona helps data practitioners address challenges with geospatial data
Learn how to run Apache Sedona, both locally and in cloud environments
Efficiently load, query, and analyze geospatial datasets using spatial SQL
Employ machine learning techniques to derive strategy-defining insights from spatial data
Manage and optimize large-scale geospatial data within a data lakehouse architecture

Erscheint lt. Verlag	31.12.2025
Verlagsort	Farnham
Sprache	englisch
Maße	178 x 232 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
ISBN-10	1-0981-7399-6 / 1098173996
ISBN-13	978-1-0981-7399-9 / 9781098173999
Zustand	Neuware