Break through the hype and learn how to extract actionable intelligence from the flood of IoT data

Key Features
Make better business decisions and acquire greater control of your IoT infrastructure
Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices
Uncover the business potential generated by data from IoT devices and bring down business costs
Book Description
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.

What You Will Learn
Overcome the challenges IoT data brings to analytics
Understand the variety of transmission protocols for IoT along with their strengths and weaknesses
Learn how data flows from the IoT device to the final data set
Develop techniques to wring value from IoT data
Apply geospatial analytics to IoT data
Use machine learning as a predictive method on IoT data
Implement best strategies to get the most from IoT analytics
Master the economics of IoT analytics in order to optimize business value
Table of Contents
Defining IoT Analytics and Challenges
IoT Devices and Networking Protocols
IoT Analytics for the Cloud
Creating an AWS Cloud Analytics Environment
Collecting All That Data - Strategies and Techniques
Getting to Know Your Data - Exploring IoT Data
Decorating Your Data - Adding External Datasets to Innovate
Communicating with Others - Visualization and Dashboarding
Applying Geospatial Analytics to IoT Data
Data Science for IoT Analytics
Strategies to Organize Data for Analytics
The Economics of IoT Analytics
Bringing It All Together