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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

Linked Analytical Datasets

The concept of LAD ties together the well-established ideas of analytical datasets and relational databases. Combining them together accelerates how quickly data scientists can get to the part both you and they care about most—the analytics.

The term LAD is being introduced in this book, although the general concepts are not new. However, there does not appear to be a common name for this arrangement, so the intent is to give it one. So, now that we have LAD, let's see if it takes off.

Analytical datasets

The process of creating analytical datasets is simple in concept but hard in execution. You have probably created one already, whether you know it or not. Analytical datasets combine...

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