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Geospatial Data Analytics on AWS

You're reading from Geospatial Data Analytics on AWS Discover how to manage and analyze geospatial data in the cloud

Product type Paperback

Published in Jun 2023

Publisher Packt

ISBN-13 9781804613825

Length 276 pages

Edition 1st Edition

Languages

R

Tools

AWS

Concepts

Geospatial Analysis

Authors (3):

Scott Bateman

Jeff DeMuth

Janahan Gnanachandran

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1: Introduction to the Geospatial Data Ecosystem

2. Chapter 1: Introduction to Geospatial Data in the Cloud FREE CHAPTER

3. Chapter 2: Quality and Temporal Geospatial Data Concepts

4. Part 2: Geospatial Data Lakes using Modern Data Architecture

5. Chapter 3: Geospatial Data Lake Architecture

6. Chapter 4: Using Geospatial Data with Amazon Redshift

7. Chapter 5: Using Geospatial Data with Amazon Aurora PostgreSQL

8. Chapter 6: Serverless Options for Geospatial

9. Chapter 7: Querying Geospatial Data with Amazon Athena

10. Part 3: Analyzing and Visualizing Geospatial Data in AWS

11. Chapter 8: Geospatial Containers on AWS

12. Chapter 9: Using Geospatial Data with Amazon EMR

13. Chapter 10: Geospatial Data Analysis Using R on AWS

14. Chapter 11: Geospatial Machine Learning with SageMaker

15. Chapter 12: Using Amazon QuickSight to Visualize Geospatial Data

16. Part 4: Accessing Open Source and Commercial Platforms and Services

17. Chapter 13: Open Data on AWS

18. Chapter 14: Leveraging OpenStreetMap on AWS

19. Chapter 15: Feature Servers and Map Servers on AWS

20. Chapter 16: Satellite and Aerial Imagery on AWS

21. Index

Why subscribe?

22. Other Books You May Enjoy

Summary

In this chapter, we learned about some ML concepts and how they apply in the geospatial field. We learned about a few AWS ML capabilities as well as a few common libraries used for geospatial ML. Lastly, we walked through a demo visualizing some points inside SageMaker Geospatial. In the next chapter, we will learn how to use Amazon QuickSight to analyze and visualize geospatial data.

The rest of the chapter is locked

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Authors (3)

Scott Bateman

Scott Bateman

Scott Bateman is a Principal Solutions Architect at AWS focused on customers in the energy industry. He holds a BS in Computer Science from Trinity University, and an Executive MBA from Quantic in addition to numerous AWS and Microsoft certifications. As part of the Geospatial Technical Field Community (TFC) group within AWS, Scott is able to regularly speak with customers about common challenges storing data, creating maps, tracking assets, optimizing driving routes, and better understanding facilities and property through remote sensing. When not working or writing, Scott enjoys snowboarding and international travel with his wife of over 2 decades, Angel, and 2 wonderful children Jackson and Emily.

See other products by Scott Bateman

Jeff DeMuth

Jeff DeMuth

Jeff Demuth is a solutions architect who joined Amazon Web Services (AWS) in 2016. He focuses on the geospatial community and is passionate about geographic information systems (GIS) and technology. Outside of work, Jeff enjoys traveling, building Internet of Things (IoT) applications, and tinkering with the latest gadgets.

See other products by Jeff DeMuth

Janahan Gnanachandran

Janahan Gnanachandran

Janahan (Jana) is a Principal Solutions Architect at AWS. He partners with customers across industries to increase speed, agility, and drive innovation using the cloud for digital transformation. Jana holds a BE in Electronics and Communication Engineering from Anna University, India, and an MS in Computer Engineering from the University of Louisiana at Lafayette. Alongside designing scalable, secure, and cost-effective cloud solutions, Jana conducts workshops, training sessions, and public speaking engagements on cloud best practices, architectural best practices, and data and AI/ML strategies. When not immersed in cloud computing, he enjoys playing tennis or golf and traveling with his wife Dilakshana and their 2 kids, Jashwin and Dhruvish.

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