Ground-up Introduction To In-Memory Data

You're an architect or a developer with years of experience creating amazing applications. You've just been assigned to a low latency project! Because you're an expert, you're expected to master a new In-Memory caching/data technology and be productive from Day 1. You feel completely lost as you open the JAR files. Not only that, but you have to contend with new topologies and data stores like NoSQL or Hadoop. Trust me, it's not as bad as it appears and setting up in-memory data is NOT as hard as you think. This session will cover the things you need to know to be successful on your first low latency in-memory based project.

This presentation will be highly useful for developers and architects of the high-perforamce applications. The attendees will learn about modern in-memory technology landscape, distributed data topologies that work well, how to make in-memory reliable, scalable and durable, the techniques for really Big In-Memory Data will be revealed! And most important, no prior knowledge of In-memory data grids required!

Viktor Gamov is a Solution Architect at Hazelcast - a leading open-source in memory data grid(IMDG) company. Viktor joined Hazelcast with comprehensive knowledge and expertise of enterprise application architectures using open source technologies. He helps companies building distributed systems on the JVM and holds an MS in Computer Science. He is a co-organizer of the Princeton Java Users Group and co-author of the O'Reilly book on Enterprise Web Development. Viktor presented at various international conferences (http://lanyrd.com/gamussa) on Java and JavaScript related topics. He tweets at @gamussa.