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Analytics for the Internet of Things (IoT)

You're reading from   Analytics for the Internet of Things (IoT) Intelligent analytics for your intelligent devices

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787120730
Length 378 pages
Edition 1st Edition
Languages
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Author (1):
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Andrew Minteer Andrew Minteer
Author Profile Icon Andrew Minteer
Andrew Minteer
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Table of Contents (14) Chapters Close

Preface 1. Defining IoT Analytics and Challenges 2. IoT Devices and Networking Protocols FREE CHAPTER 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

Building elastic analytics

IoT data volumes increase quickly. Analytics for IoT is particularly compute intensive at times that are difficult to predict. Business value is uncertain and requires a lot of experimentation to find the right implementation.

Combine all this together and you need something that scales quickly, is dynamic and responsive to resource needs, and has virtually unlimited capacity at just the right time. And all of this needs to be implemented quickly with a low cost and low maintenance needs.

Enter the cloud. IoT analytics and cloud infrastructure fit together like a hand in a glove.

What is cloud infrastructure?

The National Institute of Standards and Technology defines five essential characteristics...

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