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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

Analyzing data to infer protocol and device characteristics

Back to the number-one rule in IoT analytics: Never trust data you don't know.

You need to get to know your data. Just like that new guy you just met, you Google him, ask around about him, and do a criminal background check (we know you do) before agreeing to go to dinner with him.

Here is a step-by-step strategy to start to understand the source of the data:

  1. Draw a picture of the device: Sketch it out or use blueprints if you have them. This is where you make friends with the design engineer and ask her some questions. Draw the key sensors in the place they are located and note the sensor type and any limitations. Ask about any environmental conditions that affect accuracy and note it.
  2. Find out how the device connects to a network: Note the connectivity type on your sketch.
  3. Determine what data messaging protocol...
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