Analytics for the Internet of Things (IoT) PDF

Analytics for the Internet of Things (IoT) will ramp up your capability to extract value from IoT big data using multiple analytic techniques.

First up is a review of how IoT devices generate data and how the information travels over networks. You’ll get to know strategies to collect and store IoT data. Then learn to optimize the potential for analytics along with strategies to handle data quality concerns.

Cloud resources are a great match for IoT analytics. Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is introduced as a way to leverage location information. Learn how to combine IoT data with environmental data as a way to enhance predictive capability. You will also learn the economics of IoT analytics and 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 data science with R and Python can be used for analytic modeling of IoT opportunities