Geospatial Data Analytics on AWS
By :
Geospatial Data Analytics on AWS
By:
Overview of this book
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.
Table of Contents (23 chapters)
Preface
Part 1: Introduction to the Geospatial Data Ecosystem
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Chapter 1: Introduction to Geospatial Data in the Cloud
Chapter 2: Quality and Temporal Geospatial Data Concepts
Part 2: Geospatial Data Lakes using Modern Data Architecture
Chapter 3: Geospatial Data Lake Architecture
Chapter 4: Using Geospatial Data with Amazon Redshift
Chapter 5: Using Geospatial Data with Amazon Aurora PostgreSQL
Chapter 6: Serverless Options for Geospatial
Chapter 7: Querying Geospatial Data with Amazon Athena
Part 3: Analyzing and Visualizing Geospatial Data in AWS
Chapter 8: Geospatial Containers on AWS
Chapter 9: Using Geospatial Data with Amazon EMR
Chapter 10: Geospatial Data Analysis Using R on AWS
Chapter 11: Geospatial Machine Learning with SageMaker
Chapter 12: Using Amazon QuickSight to Visualize Geospatial Data
Part 4: Accessing Open Source and Commercial Platforms and Services
Chapter 13: Open Data on AWS
Chapter 14: Leveraging OpenStreetMap on AWS
Chapter 15: Feature Servers and Map Servers on AWS
Chapter 16: Satellite and Aerial Imagery on AWS
Index
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