Book Image

Analytics for the Internet of Things (IoT)

By : Andrew Minteer
5 (1)
Book Image

Analytics for the Internet of Things (IoT)

5 (1)
By: Andrew Minteer

Overview of this book

We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You’ll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We’ll also review the economics of IoT analytics and you’ll discover ways to optimize business value. By the end of the book, you’ll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...