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Geospatial Data Analytics on AWS
Geospatial Data Analytics on AWS

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

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Profile Icon Scott Bateman Profile Icon Janahan Gnanachandran Profile Icon Jeff DeMuth
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$46.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (11 Ratings)
Paperback Jun 2023 276 pages 1st Edition
eBook
$37.99
Paperback
$46.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Scott Bateman Profile Icon Janahan Gnanachandran Profile Icon Jeff DeMuth
Arrow right icon
$46.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (11 Ratings)
Paperback Jun 2023 276 pages 1st Edition
eBook
$37.99
Paperback
$46.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$37.99
Paperback
$46.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • 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

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.

Who is this book 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.

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
Estimated delivery fee Deliver to United States

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 30, 2023
Length: 276 pages
Edition : 1st
Language : English
ISBN-13 : 9781804613825
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What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Payment Processing...
tick Completed

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Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

Publication date : Jun 30, 2023
Length: 276 pages
Edition : 1st
Language : English
ISBN-13 : 9781804613825
Vendor :
Amazon
Category :
Languages :
Tools :

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Frequently bought together


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Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
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Florin Tudor Sep 07, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Geospatial Data Analytics on AWS is an exceptional resource for anyone looking to harness the power of geospatial data in the cloud. This course offers a comprehensive and practical guide to leveraging AWS services for geospatial analysis.The instructors provide clear explanations and hands-on demonstrations, making complex concepts easily digestible. They cover a wide range of topics, from data ingestion and storage to advanced analytics and visualization, ensuring that learners of all levels can benefit from the material.What sets this course apart is its focus on real-world applications. By showcasing practical use cases and providing step-by-step instructions, Geospatial Data Analytics on AWS empowers you to apply your newfound knowledge immediately. This combination of theory and practice is invaluable.Additionally, the course's integration with AWS services ensures that you can seamlessly apply what you've learned in a cloud environment, making it a highly relevant resource for modern data professionals.In summary, Geospatial Data Analytics on AWS is a top-notch course that equips you with the skills and knowledge needed to excel in the world of geospatial data analysis using AWS. Whether you're a beginner or an experienced practitioner, this course is a must-have for anyone seeking to unlock the full potential of geospatial data in the cloud or anyone in geospatial field looking to understand the cloud approach.​
Amazon Verified review Amazon
L. Webster Nov 08, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a professional who has managed a team of geospatial analysts and developers, I have a good understanding of the concepts and techniques utilized, albeit from years ago when utilizing the cloud was cutting edge. This book is very well written, easy to follow, and the early chapters help build a framework of understanding by going through some of the basics of cloud computing and benefits of geospatial data in the cloud.As you progress through the chapters to the more complex topics, the detailed explanations, screen shots, along with real-world examples, make it easy for readers to understand, quickly get up to speed, and utilize the knowledge effectively. It is a refreshing blend of both theory and real-world implementation, making it a great resource that you will want to keep within arm’s reach.I highly recommend this book for beginners learning how to build geospatial solutions on AWS to seasoned professionals looking to dust off or refresh antiquated techniques that were once bleeding edge.
Amazon Verified review Amazon
Om S Jul 14, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Geospatial Data Analytics on AWS is an indispensable guide for anyone seeking to navigate the complexities of managing geospatial data and developing location-based applications in the cloud. This comprehensive book offers a clear and accessible approach to understanding geospatial data in the context of AWS, while providing practical insights into designing and constructing data lake architectures specifically tailored for geospatial data.The book begins by delving into the utilization of purpose-built AWS databases such as Redshift and Aurora PostgreSQL to efficiently store and analyze geospatial data. Readers will then explore the powerful capabilities of services like DynamoDB and Athena, which offer specialized geospatial functions for indexing and querying data. The author expertly illustrates the benefits of managing geospatial data in the cloud through a range of practical examples.Throughout the book, readers are exposed to valuable techniques for analyzing and visualizing data using popular programming languages like Python and R. Furthermore, the integration of QuickSight enables the sharing of derived insights, while the integration of platforms like Open Data on AWS, OpenStreetMap, and ArcGIS enhances efficiency and promotes continuous learning.By the end of the book, readers will possess the necessary tools and knowledge to build and manage their own geospatial data lakes on AWS. Whether you are a GIS developer, GIS analyst, data analyst, or data scientist, this book equips you with the skills needed to leverage geospatial data in cloud-centric applications. While a basic understanding of geographic concepts is recommended, no prior experience with the cloud is necessary to comprehend the concepts presented.The book features a well-structured table of contents, guiding readers through topics ranging from foundational geospatial data concepts to the utilization of advanced AWS services. Each chapter is filled with practical insights and real-world examples, making it easy for readers to grasp and apply the knowledge effectively.Geospatial Data Analytics on AWS is a must-have resource for individuals seeking to unlock the potential of geospatial data in the cloud. The author's engaging writing style and attention to detail create an enjoyable learning experience. Whether you are a novice or an experienced professional, this book will undoubtedly expand your geospatial data management skills and enable you to maximize the benefits of AWS services.
Amazon Verified review Amazon
K. Jones Jul 25, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Two themes kept coming to mind as I read this. First, all data is geospatial data (meaning there are geospatial aspects for every datum). Second, working with geospatial data used to be really hard but these guys make it simple and straight forward.The book is very practical. It goes step by step, teaching the reader how to do standard analytics using AWS. There are lots of useful screen shots, making it easy to follow along.The book is based on AWS services and describes the relevant services throughout. My favorite part of the book is the architectural considerations they include at the end of every chapter. These highlight concepts from the AWS well architected framework like security, cost optimization, and resiliency.The book focuses more on AWS tools than specific algos of methods for geospatial processing. This book is about running geospatial analytics systems, not about developing geospatial ML projects. So I found myself wanting more on the analytics mathy side. Alas, there is another book about geospatial analytics with python from packt that likely covers this. I was pleasantly surprised that they covered R and Hadoop (called AWS EMR). These two frameworks are still widely used for geospatial analysis and it is great to see how existing methods can be deployed on AWS.Overall, this is the companion book for anyone building geospatial solutions on AWS. Follow its steps and you will end up in the right place.
Amazon Verified review Amazon
Nolan Aug 23, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you want to enhance your capabilities of GISanalysis in AWS this is a good book to have and get started in the subject. I would rate it as being a good purchase. Make sur le your IS department has their own copy!
Amazon Verified review Amazon
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Shipping Details

USA:

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Economy: Delivery to most addresses in the US within 10-15 business days

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Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

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Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela