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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 FREE CHAPTER 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

Elastic analytics concepts

What do we mean by elastic analytics? Let's define it as designing your analytics processes so that scale is not a concern. You want your focus to be on the analytics and not on the underlying technology. You want to avoid constraining your analytics capability so it will fit within some set hardware limitations. Focus instead on the potential value of your analytics versus the limit of what can be done with existing hardware.

You also want your analytics to be able to scale. It should go from supporting 100 IoT devices to 1 million IoT devices without requiring any fundamental changes. All that should happen is that the costs increase as demand increases.

This reduces complexity and increases maintainability. This translates into lower costs, which enables you to do more analytics. More analytics increases the probability of finding value. Finding...

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