Ground-up Introduction To In-Memory Data (Grids)

Track: Data, Integration & IoT
Skill Level: Beginner
Room: Room A312
Time Slot: Tue 2/16, 10:30 AM
Tags: data + integration

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 performance 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

Viktor Gamov is a Senior Solution Architect at Hazelcast, the leading open-source in-memory data grid (IMDG). Viktor has comprehensive knowledge and expertise in enterprise application architecture leveraging open source technologies. He has helped leading organizations build low latency, scalable and highly available distributed systems. He is co-organizer of Princeton JUG and New York Hazelcast User Group. He is a co-author of O’Reilly’s “Enterprise Web Development”. Viktor’s presenting at the conferences(, blogging and producing a podcast. Follow Viktor on Twitter @gamussa.