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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

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

Applying big data technology to storage

With IoT data flooding into your cloud environment and after processing and transforming it, the next problem to solve is how to store it. The solution should support holding large datasets and be easy to interact with for analytics.

Hadoop

Hadoop is an open source effort that falls under the umbrella of the Apache Software Foundation. As defined by the official project documentation, The Apache Hadoop project develops open source software for reliable, scalable, distributed computing. Hadoop is available for free in its pure open source form.

Unless you have some Hadoop experts on your team, you should opt for one of the managed Hadoop distributions. This will give you a level of troubleshooting support and implementation advice. Cloudera and Hortonworks are two main providers of managed distributions and support. Amazon AWS and Microsoft Azure both have their own Hadoop managed services, EMR and HDInsights respectively.

Hadoop is a little difficult to...

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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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