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

Designing data processing for analytics


There are some key cloud services that are likely to be employed in your IoT data processing environment. Both AWS and Microsoft Azure have IoT-specific services that we will review. There are also services that support data processing and transformation that are worth a review to increase your familiarity with them.

Amazon Kinesis

Amazon Kinesis is a set of services for loading and analyzing streaming data. It handles all the underlying compute, storage, and messaging services for you.

The services in the Kinesis family are as follows:

  • Amazon Kinesis Firehose: This enables loading of massive volumes of streaming data into AWS.
  • Amazon Kinesis Streams: This service allows you to create custom applications to process and analyze streaming data in real time. There are two ends to each stream; you use the Amazon Kinesis Producer Library (KPL) to build the application that sends data into the stream. The Amazon Kinesis Client Library (KCL) is used in the application...