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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

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781804613825
Length 276 pages
Edition 1st Edition
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Authors (3):
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Scott Bateman Scott Bateman
Author Profile Icon Scott Bateman
Scott Bateman
LinkedIn
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.
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Jeff DeMuth Jeff DeMuth
Author Profile Icon 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.
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Janahan Gnanachandran Janahan Gnanachandran
Author Profile Icon Janahan Gnanachandran
Janahan Gnanachandran
LinkedIn
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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Toc

Table of Contents (23) Chapters Close

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 22. Other Books You May Enjoy

Geospatial Data Lake Architecture

Geospatial data combined with spatial analytics help companies across all industries answer a wide range of business questions. The sheer volume of geospatial data collection and analytical capabilities present many challenges for organizations to take full advantage of geospatial data by turning data into useful insights to solve a specific problem. This chapter will outline the designing and building of a Data Lake architecture to ingest, store, manage, analyze, and visualize the geospatial data in AWS. In this chapter, you will learn about the geospatial data management methodologies through the following topics:

  • Modern data architecture overview
  • Designing and building a geospatial data lake
  • Geospatial data ingestion overview
  • Extract, transform, and load geospatial data
  • Storing geospatial data
  • Building a search service on a geospatial data lake
  • Security and governance
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Authors (3)

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Profile icon Scott Bateman
Scott Bateman
LinkedIn icon Github icon
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.
Read more
See other products by Scott Bateman
Profile icon 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.
Read more
See other products by Jeff DeMuth
Profile icon Janahan Gnanachandran
Janahan Gnanachandran
LinkedIn icon
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.
Read more
See other products by Janahan Gnanachandran
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