Descriptions
Cloud Native Geospatial Analytics with Apache Sedona, 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 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.
Book features
- Understand how Apache Sedona helps practitioners address geospatial data challenges
- Run Apache Sedona locally and in cloud environments
- Efficiently load, query, and analyze geospatial datasets using spatial SQL
- Apply machine learning techniques to extract insights from spatial data
- Design and manage large-scale geospatial data within a data lakehouse architecture
Who this Book is for
- Developers working with spatial data
- Data scientists and machine learning engineers focusing on geospatial problems
- Data engineers and architects building data lakehouse solutions
- Analysts and practitioners who need to scale geospatial analytics
Specificatoin of Cloud Native Geospatial Analytics with Apache Sedona
- Publisher : Oreilly
- Teacher : Pawel Tokaj
- Language : English
- Level : All Levels
- Pages : 442
- Chapters: 10
- Format: EPUB
Content of Cloud Native Geospatial Analytics with Apache Sedona
Pictures
Installation Guide
Extract the files and watch with your favorite Software
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
16 MB
