Join us at Venture Hive for a very special talk with an invited Industry speaker from GridGain!

Denis Magda, Product Manager from GridGain Systems and Apache Ignite PMC Chair, will give a talk about Apache Spark, Apache Ignite, and the Internet of Things!

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. During this session, see 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, learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

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 where he led the Java ME Embedded Porting Team helping Java open new boundaries by entering the IoT market.

Food and drinks will be provided by GridGain. Please notice that we have changed the venue for this talk to Venture Hive in Miami downtown.

Data Science Salon | South Florida

Technology

Open Source

Business Intelligence

Cloud Computing

Big Data

Machine Learning

Data Mining

Data Analytics

Data Science

Apache Spark

Data Visualization

Predictive Analytics

Data Management

Artificial Intelligence

Natural Language Processing

David Villegas

Apache Spark and Apache Ignite: Where fast data meets the IOT

Venture Hive