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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

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

Creating an AWS Cloud Analytics Environment

This chapter is a step-by-step walk-through of creating an AWS cloud environment. The environment is specifically geared toward analytics and uses AWS best practices. Along with screenshots and instructions on setting things up, there will be explanations of what is being done and why. This walk-through will incur AWS usage charges. Make sure to delete all the resources after the walk-through if you do not intend on keeping the environment running as the total cost could be over $130 USD for a full month. Starting and stopping the EC2 instances as needed can reduce the cost somewhat.

This chapter will cover the following topics:

AWS CloudFormation
Setting a best practice virtual private cloud setup:
- NAT gateway
- Bastion hosts
How to terminate and clean up the environment

The rest of the chapter is locked

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Authors (1)

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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