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

Build an end-to-end geospatial data lake in  AWS using popular AWS services such as RDS, Redshift, DynamoDB, and  Athena to manage geodata.

Key Features

• Explore the architecture and different use cases to build and manage geospatial data lakes in AWS
• Discover how to leverage AWS purpose-built databases to store and analyze geospatial data
• Learn how to recognize which anti-patterns to avoid when managing geospatial data in the cloud

Book Description

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.

What you will learn

• Discover how to optimize the cloud to store your geospatial data
• Explore management strategies for your data repository using AWS Single Sign-On and IAM
• Create effective SQL queries against your geospatial data using Athena
• Validate postal addresses using Amazon Location services
• Process structured and unstructured geospatial data efficiently using R
• Use Amazon SageMaker to enable machine learning features in your application
• Explore the free and subscription satellite imagery data available for use in your GIS

Who this book is for

If  you understand the importance of accurate coordinates, but not  necessarily the cloud, then this book is for you. This book is best  suited for GIS developers, GIS analysts, data analysts, and data  scientists looking to enhance their solutions with geospatial data for  cloud-centric applications. A basic understanding of geographic concepts  is suggested, but no experience with the cloud is necessary for  understanding the concepts in this book.

1. Introduction to Geospatial Data in the Cloud
2. Quality and Temporal Geospatial Data Concepts
3. Geospatial Data Lake Architecture
4. Using Geospatial Data with Amazon Redshift
5. Using Geospatial Data with Amazon Aurora PostgreSQL
6. Serverless Geospatial
7. Querying Geospatial Data with Amazon Athena
8. Geospatial Containers on AWS
9. Geospatial Data with Amazon EMR
10. Geospatial Data Analysis using Python on AWS Cloud9
11. Geospatial Data Analysis using SageMaker
12. Using Amazon QuickSight to Visualize Geospatial Data
13. Open Data on AWS
14. Leveraging OpenStreetMap on AWS
15. Map and Feature Services on AWS
16. Satellite Imagery on AWS