Apache Spark and Apache Ignite: Where Fast Data Meets the IoT

Baden B
Streaming Data

It is not enough to build a mesh of sensors or embedded devices to obtain more insights about the surrounding environment and optimize your production systems. Usually, your IoT solution needs to be capable of transferring enormous amounts of data to storage or the cloud where the data have to be processed further. Quite often, the processing of the endless streams of data has to be done in real-time so that you can react on the IoT subsystem's state accordingly.

 

This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.

 

In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

Speakers
Denis Magda
Denis
Magda
Product Manager
at
GridGain Systems
Denis is an expert in distributed systems and platforms who developed his skills by consistently contributing to Apache Ignite In-Memory Data Fabric and helping GridGain In-Memory Data Fabric customers build a distributed and fault-tolerant solution on top of their platform. Before joining GridGain and becoming a part of Apache Ignite community, Denis worked for Oracle Inc. where he led Java ME Embedded Porting Team helping Java opening new boundaries by entering IoT market. Currently, Denis takes the role of Product Manager in GridGain and PMC Chair in Apache Ignite, leading both products to an exciting future.

Slides

Recording