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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

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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

Processing geospatial data

Specialized software can help in processing and visualizing geospatial data. This can be useful for small data and one-time analyses. Even if you have a big data solution, using these tools can help you communicate your findings more effectively to others.

Geospatial analysis software

We will review the most popular Geographic Information System (GIS) tools, so you have some familiarity with them. They are useful support tools for geospatial analytics.

ArcGIS

ArcGIS is the de facto standard for paid GIS software. It was developed and is maintained by the ESRI corporation. It has an awe-inspiring amount of functionality and is used by most professional geospatial analysts. It has world-class support by ESRI and many training options abound. It links to useful datasets and geospatial analytic capabilities, which are also maintained by ESRI.

ArcGIS is available as a desktop application or as a cloud service. You can sign up for a 60-day free trial (https://www.arcgis.com...

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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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