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

The Hierarchy of Questions method


When designing visuals and dashboards, instead of just replicating the same charts and tables that you created for yourself when exploring the data, take a minute to think about things from the point of view of the audience. Think about how their perspective and needs differ from yours.

In your situation as an analyst, you know the data and environment well already; you do not need labels and descriptions on your charts. What you want is as much information as you can fit into one place, so you can easily find patterns. The people who will be either interacting with dashboards or viewing your presentation have different needs.

They will want to be able to orient themselves visually with minimal effort. They want the key conclusions to be obvious. They do not want to have to spend a lot of time trying to figure it out, or have to ask a lot of questions just to understand what is being shown. They want simple and familiar, but with enough detail that they feel...