Название: Cloud Native Geospatial Analytics with Apache Sedona: A Hands-On Guide for Working with Large-Scale Spatial Data (Final Release)
Автор: Paweł Tokaj, Jia Yu, Mo Sarwat
Издательство: O’Reilly Media, Inc.
Год: 2026
Страниц: 339
Язык: английский
Формат: True PDF, True EPUB
Размер: 33.2 MB
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. Geospatial practitioners often rely on Python libraries like GeoPandas, Shapely, and Rasterio for analysis, as well as visualization frameworks like Kepler.gl for exploration and communication. Sedona integrates seamlessly with these tools, scaling familiar workflows across distributed clusters while adhering to open standards such as GeoParquet and spatial SQL. The authors highlight these connections, making Sedona valuable not only for GIS professionals but also for data engineers and scientists building modern data pipelines.