The Internet of Things (IoT) is one of the most exciting and significant technology revolutions in the world today. Though there are countless IoT systems in operation at fledgling start ups and established corporations alike, most experts agree the industry is still in its infancy. It is estimated that by 2020 there will be over 30 billion devices wirelessly connected to the Internet.
But this process is far from simple or automatic. Significant challenges in terms of performance and scale must be resolved before IoT systems can be relied upon to handle the massive amounts of data accurately and effectively.
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.
To help those engineers, developers, architects, data scientists and decision makers who are tasked with overcoming these formidable challenges, GridGain is presenting a webinar titled “High Performance Data Architectures for the Internet of Things (IoT)” on Wednesday, June 8 at 10:00 AM PDT.
In this session, Christos Erotocritou, Solutions Architect at GridGain, will discuss:
Don’t miss this opportunity to learn about the technologies that are driving the IoT explosion and how the in-memory data fabric can help you overcome the obstacles that stand in the way. Register Now.
But this process is far from simple or automatic. Significant challenges in terms of performance and scale must be resolved before IoT systems can be relied upon to handle the massive amounts of data accurately and effectively.
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.
To help those engineers, developers, architects, data scientists and decision makers who are tasked with overcoming these formidable challenges, GridGain is presenting a webinar titled “High Performance Data Architectures for the Internet of Things (IoT)” on Wednesday, June 8 at 10:00 AM PDT.
In this session, Christos Erotocritou, Solutions Architect at GridGain, 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
Don’t miss this opportunity to learn about the technologies that are driving the IoT explosion and how the in-memory data fabric can help you overcome the obstacles that stand in the way. Register Now.