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
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