Geospatial Data Analytics on AWS: Discover how to manage and analyze geospatial data in the cloud

Managing geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data. You’ll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you’ll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you’ll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning. By the end of this book, you’ll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.

在雲端中管理地理空間數據並建立基於位置的應用程式可能是一項艱鉅的任務。這本全面的指南將以易於理解的方式介紹在雲端中處理地理空間數據的概念，並教導您如何在AWS上設計和建立地理空間數據的資料湖架構。您將首先探索使用AWS數據庫（如Redshift和Aurora PostgreSQL）來存儲和分析地理空間數據。接下來，您將利用DynamoDB和Athena等服務，這些服務提供了強大的內建地理空間功能，用於索引和查詢地理空間數據。本書充滿了實際示例，以說明在雲端中管理地理空間數據的好處。隨著您的進一步學習，您將發現如何使用Python和R進行數據分析和可視化，並利用QuickSight分享派生的見解。最後幾章將探討將常用平台（如AWS上的開放數據、OpenStreetMap和ArcGIS）與AWS集成，以提高效率並為持續學習提供支持性社區。通過閱讀本書，您將具備在AWS上建立和管理自己的地理空間數據湖所需的工具和專業知識，並能夠應對地理空間數據管理挑戰，充分利用AWS服務。