High Performance Data Architectures for the Internet of Things

By 2020, Gartner expects the Internet of Things (IoT) to have over 20 billion connected things. Successful IoT platforms will need a data architecture that leverages in-memory computing to address the significant challenges in terms of speed, scalability, variable workloads, and other issues created by IoT applications.

This white paper discusses popular use cases for and components of IoT. It covers the challenges caused by typical approaches to IoT data architecture and its associated resource requirements. You’ll learn how the GridGain in-memory computing platform can simplify this architecture and reduce your team’s learning curve.

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