Packt Publishing  /  1st Edition

Geospatial Data Analytics
on AWS

Discover how to manage and analyze geospatial data in the cloud

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By  Scott Bateman  /  Janahan Gnanachandran  /  Jeff DeMuth

The Book

About This Book

Geospatial Data Analytics on AWS
Packt Publishing — 1st Edition

A comprehensive guide to leveraging AWS services for geospatial data processing, analysis, and visualization — from ingestion pipelines to production-ready cloud architectures.

  • AWS geospatial services and cloud infrastructure
  • Data ingestion and processing pipelines
  • Cloud-Optimized GeoTIFFs, STAC, and open standards
  • Spatial analysis and machine learning on AWS
  • Visualization with QuickSight and open-source tools
  • Real-world case studies and production patterns
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400+
Pages
12
Chapters
30+
Examples
3
Authors

Free Downloads

Sample Datasets

Real geospatial datasets from the book — mostly real energy/utilities infrastructure data. Style them, sort/search their attributes, view raw GeoJSON/CSV, and download for your own projects.

14 datasets · GeoJSON & CSV · no sign-up required

State/county boundaries, oil & gas wells, pipelines, refineries, wind turbines, transmission lines, and more — all hosted on S3 and free to download.

GeoJSON CSV
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Hands-On

Interactive Playgrounds

Live, in-browser demos that bring the book's concepts to life. No AWS account required.

Ch. 3–4

Spatial Data Processing

Geospatial data transformation and processing pipelines on AWS Lambda and Glue.

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Ch. 6–7

Satellite Imagery Analysis

Real Sentinel-2 reflectance data, fetched live from AWS Open Data — band combinations and spectral indices computed in your browser.

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Ch. 3–4

Pipeline Builder

Drag-and-drop AWS service components to design geospatial ETL pipelines visually.

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Ch. 5

Field Operator EfficiencyNew

Schedule a real natural gas field maintenance backlog across technicians and days, with live OSRM routing and cost/safety trade-offs.

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Ch. 6–7

3D Terrain GlobeNew

A real global digital elevation model rendered with CesiumJS, streamed live from AWS's public Terrain Tiles Open Data bucket — no API key, no server.

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Resources

Code & References

GitHub

Code Examples

All code samples from the book, organized by chapter and ready to run in your AWS environment.

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O'Reilly

Read Online

Access the full book on O'Reilly Learning — includes all code, figures, and chapter notes.

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PDF

Chapter Guides

Downloadable cheat sheets and supplementary reference materials for each chapter.

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Authors

Who Wrote This Book

Scott Bateman and Angel

Scott Bateman

Energy Innovation Leader — EY  |  formerly Principal Solutions Architect, AWS

Scott co-authored this book while serving as a Principal Solutions Architect at Amazon Web Services (AWS), where he focused on cloud products and solutions for energy and utilities customers. With over almost 30 years of experience spanning software development, GIS architecture, and enterprise IT leadership, he has worked across all segments of the energy industry — from Accenture and Quorum Business Solutions to LOGIC Solutions Group and BPX Energy before joining AWS in 2019.

While at AWS, Scott was a founding member of the open-source Agents4Energy generative AI project, helped launch the AWS Geospatial Technical Field Community (TFC), and has spoken at AWS re:Invent, CREAWeek, Data Driven Drilling & Production, FME World Fair, and the Esri Petroleum User Group, where he served as Technical Chair on the Steering Committee. He holds a BS in Computer Science from Trinity University and an Executive MBA from Quantic.

This biography reflects Scott’s role and affiliations at the time this book was written and published. EY is not a co-author, sponsor, or endorser of this book, and this content does not represent the views of EY or constitute an EY go-to-market offering with AWS.

Janahan Gnanachandran

Janahan Gnanachandran

Principal Solutions Architect, AWS — Analytics, AI/ML & Sustainability

Jana is a Principal Solutions Architect at AWS with over 13 years of experience, collaborating with clients across energy, industrial, environmental, manufacturing, and finance to accelerate their cloud innovation journey. He is a member of the Analytics, AI/ML, and Environmental Sustainability Technical Field Communities at AWS, and conducts workshops, training sessions, and public speaking engagements on cloud architecture and data & AI/ML strategy. He holds a BE in Electronics and Communication Engineering from Anna University and an MS in Computer Engineering from the University of Louisiana at Lafayette.

Jeff DeMuth

Jeff DeMuth

Solutions Architect, AWS — Geospatial Community

Jeff joined AWS in 2016 with a focus on the geospatial community and a passion for GIS and technology. He has spoken at over a dozen geospatial conferences across energy, mining, state and local government, telecom, and more. Outside of work, Jeff enjoys traveling, building IoT applications, and tinkering with the latest gadgets.