By 2020, Gartner expects the Internet of Things (IoT) to have over 20 billion connected things. With this many connected devices transmitting information, there will be an enormous amount of processing required to derive value from this data. To cope with this rapid expansion in the Internet of Things, successful IoT platforms will need a data architecture which leverages in-memory computing. These architectures will address the significant challenges in terms of speed, scalability, variable workloads, and other issues created by IoT applications.
This white paper takes a look at popular use cases for and components of IoT. It then discusses the challenges caused by typical approaches to IoT data architecture and its associated resource requirements. You will learn how the GridGain in-memory computing platform can simplify this architecture and reduce your team’s learning curve.