In-Memory Big Data Processing on the JVM!

When it comes to big data, Hadoop isn't the only game in town!

In this 90 minute presentation, Nikita Ivanov will demonstrate how to use GridGain (the open source in-memory data processing framework) to build a big data app as the audience watches in a live coding session.

Learn about what it takes to do real-time processing on huge amounts of data, and how real-time processing differs from the batch-oriented, offline processing of Hadoop-based frameworks.

Target Audience

Senior developers interested in the practical aspects of real-time big data programming in Scala or Java Java or Scala developers interested in practical aspects of high-performance, distributed programming Architects and managers interested in the field of big data Technical Prerequisites

Solid programming language skills (Java, Scala, or Groovy preferred) Basic understanding of distributed programming concepts Basic understanding of what big data is Agenda

6:00: Pizza & Networking
6:20: Presentation