During this 1-hour webinar, GridGain Product Manager and Apache<span style=”font-family:”Lucida Grande””>®</span> Ignite<span style=”font-family:”Lucida Grande””>™</span> PMC Chair Denis Magda will discuss a Fast Data solution that can receive endless streams from the Internet of Things (IoT) and be capable of processing the streams in real-time using Apache Ignite’s cluster resources. You will also learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache<span style=”font-family:”Lucida Grande””>®</span> Spark<span style=”font-family:”Lucida Grande””>™</span>.
It’s not enough to build a mesh of sensors or embedded devices to get more insights about the surrounding environment and optimize your production. Usually, your IoT solution needs to be capable of transferring enormous amounts of data to a storage or cloud where the data has to be processed further. Quite often, the processing of the endless streams of data has to be done almost in real-time so that you can react on the IoT subsystem’s state accordingly, and in time.
At the end of this webinar, you’ll understand how Apache Ignite and Apache Spark work together to accomplish this.
VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member