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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

Summary


In this chapter, we reviewed how to increase data scientist productivity by reducing time spent manipulating data. The concept of LAD was introduced, along with a process to build them.

Concepts to help prevent data lakes from turning into a data swamp was discussed. Changing perspectives from a data lake to a series of active refineries and production chains helps to plan for a useful data storage area.

Strategies for data retention were also reviewed. Consider the twin goals of maximizing value while minimizing costs when designing a retention strategy. In the next chapter, we will discuss the economics of IoT analytics. The chapter covers ways to look for business value in the data along with a detailed predictive maintenance example.

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