High Performance Data Architectures for the Internet of Things (IoT)
Over 30 billion devices will be wirelessly connected to the Internet by 2020.
Internet of Things (IoT) applications have three key components: the devices, the networks connecting them, and the analytics that use the generated data. Before data is valuable, it must be converted to actionable information through complex processing and correlation algorithms. As the number of devices increases, so does the volume of data, giving rise to scaling challenges. In-memory data fabrics such as Apache® Ignite™ address the scaling and real-time processing requirements of IoT use cases.
In this session, we will discuss:
- The challenges and opportunities of current and future IoT use cases
- How an in-memory data fabric can be used to architect next generation IoT platforms which are able to handle billions of events in near real-time
- Key features of in-memory data fabrics such as an IMDG and IMCD and resilience mechanisms
- Code and examples that demonstrate how key features of Apache Ignite and GridGain can tackle the challenges of IoT