In this chapter, we created a secure virtual private cloud in less than half an hour that is ready to support IoT analytics. We also reviewed how to delete and clean up the environment when no longer needed. We discussed AWS CloudFormation, NAT gateways, and Linux bastion hosts. You now have a secure and flexible place to launch large-scale analytics, which we will do later on in this book.
Analytics for the Internet of Things (IoT)
By :
Analytics for the Internet of Things (IoT)
By:
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
Free Chapter
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
Customer Reviews