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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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787120730

Length 378 pages

Edition 1st Edition

Languages

Scala

Tools

Apache Spark

Concepts

Single Board Computers

Author (1):

Andrew Minteer

View More author details

Table of Contents (14) Chapters

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

Summary

In this chapter, you learned about how to use geospatial analytics to find insights and answer complex questions about IoT data. The importance of geospatial analysis for geographically distributed IoT devices was discussed. The concept of CRS was introduced along with haversine distance and its limitations.

The world is not a perfect sphere. Methods to adjust for that in order to accurately measure distance was covered. Python functions for geospatial analytics, such as buffer and contains, were discussed, along with some examples.

Storing and processing geospatial data requires some specialized handling. Some geospatial databases and GIS software tools were reviewed. PostGIS spatial functions were also reviewed. We went over some tips for leveraging geospatial analytics in a big data world.

Geospatial analytics offers a huge opportunity to analyze IoT data in new and innovative ways. It can help discover patterns in noisy data. New services can then be created as another way to extract...

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Authors (1)

Andrew Minteer

Andrew Minteer

Andrew Minteer is currently the senior director, data science and research at a leading global retail company. Prior to that, he served as the director, IoT Analytics and Machine Learning at a Fortune 500 manufacturing company. He has an MBA from Indiana University with a background in statistics, software development, database design, cloud architecture, and has led analytics teams for over 10 years. He first taught himself to program on an Atari 800 computer at the age of 11 and fondly remembers the frustration of waiting through 20 minutes of beeps and static to load a 100-line program. He now thoroughly enjoys launching a 1 TB GPU-backed cloud instance in a few minutes and getting right to work. Andrew is a private pilot who looks forward to spending some time in the air sometime soon. He enjoys kayaking, camping, traveling the world, and playing around with his six-year-old son and three-year-old daughter.

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