December 2025
Intermediate to advanced
338 pages
8h 38m
English
Content preview from Cloud Native Geospatial Analytics with Apache Sedona
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Preface
Welcome to Cloud Native Geospatial Analytics with Apache Sedona. Thank you for choosing this book as your learning companion. The following pages introduce what lies ahead, our reasons for writing it, and how to get the most value from your reading.
About This Book
In this book, you will learn how to process and analyze geospatial data with Apache Sedona. Sedona is designed for data engineers and geospatial analysts working with datasets in the physical world, and this book explores the core concepts, inner workings, and practical applications of Apache Sedona. By the time you reach the end, you will have grasped the essentials and possess the practical knowledge to use Apache Sedona effectively in your data projects. You will have learned about how to use state-of-the-art geospatial data processing techniques on different engines and for different types of spatial data. You will learn how to perform spatial joins, run KNN queries, and build spatial indices with different algorithms like R-tree and quadtree. No matter your level of experience, Cloud Native Geospatial Analytics with Apache Sedona offers a comprehensive and accessible path to mastering Apache Sedona in the realm of cloud native geospatial analytics.
Why We Wrote This Book
As adoption of Apache Sedona accelerates across industries, a clear need has emerged for a comprehensive technical resource that addresses the complexities of large-scale geospatial data processing. The volume of available spatial data ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.