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Analytics for the Internet of Things (IoT)

You're reading from  Analytics for the Internet of Things (IoT)

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787120730
Pages 378 pages
Edition 1st Edition
Languages
Author (1):
Andrew Minteer Andrew Minteer
Profile icon Andrew Minteer
Toc

Table of Contents (20) Chapters close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Defining IoT Analytics and Challenges 2. IoT Devices and Networking Protocols 3. IoT Analytics for the Cloud 4. Creating an AWS Cloud Analytics Environment 5. Collecting All That Data - Strategies and Techniques 6. Getting to Know Your Data - Exploring IoT Data 7. Decorating Your Data - Adding External Datasets to Innovate 8. Communicating with Others - Visualization and Dashboarding 9. Applying Geospatial Analytics to IoT Data 10. Data Science for IoT Analytics 11. Strategies to Organize Data for Analytics 12. The Economics of IoT Analytics 13. Bringing It All Together

The AWS overview


In the land of cloud infrastructure, AWS is the king. It was the first of its kind, launched in 2005, and is the largest by a wide margin. It is ranked number one in every segment of Gartner magic quadrants on cloud infrastructure providers.

As reported by Computerworld in 2016, it has ten times the compute capacity of its 14 closest rivals combined. Entire companies, such as Netflix and AirBnB, run their operations on it. As can be seen in the following chart, AWS has over 30% of the market share, with the next closest competitor at 9%.

AWS offers a wide range of services from networking to compute to IoT. The following is a listing of the services from AWS management console. The management console is where you launch new services, monitor existing ones, and review billing:

AWS services list. Source: AWS management console

You can reduce these into three categories of services that you need to have configured properly to support your analytics: networking, compute, and storage...

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