{"product_id":"cloud-native-geospatial-analytics-with-apache-sedona-a-hands-on-guide-for-working-with-large-scale-spatial-data-paperback","title":"Cloud Native Geospatial Analytics with Apache Sedona: A Hands-On Guide for Working with Large-Scale Spatial Data - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePawel Tokaj\u003c\/b\u003e (Author), \u003cb\u003eJia Yu\u003c\/b\u003e (Author), \u003cb\u003eMo Sarwat\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eNavigating 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.\u003c\/p\u003e \u003cp\u003eAuthors Pawe\u0026amp;lstrok; 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.\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eUnderstand how Apache Sedona helps data practitioners address challenges with geospatial data\u003c\/li\u003e \u003cli\u003eLearn how to run Apache Sedona, both locally and in cloud environments\u003c\/li\u003e \u003cli\u003eEfficiently load, query, and analyze geospatial datasets using spatial SQL\u003c\/li\u003e \u003cli\u003eEmploy machine learning techniques to derive strategy-defining insights from spatial data\u003c\/li\u003e \u003cli\u003eManage and optimize large-scale geospatial data within a data lakehouse architecture\u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 336\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 13, 2026\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43159801954367,"sku":"9781098173999","price":90.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/EoS1W6PfMU9781098173999.webp?v=1777001757","url":"https:\/\/dhlswag.com\/products\/cloud-native-geospatial-analytics-with-apache-sedona-a-hands-on-guide-for-working-with-large-scale-spatial-data-paperback","provider":"BBB","version":"1.0","type":"link"}