Anatomy of an In-Memory Data Fabric

GridGain founder and CTO, Nikita Ivanov describes the strategy and architecture behind the latest, recent release of GridGain's open source In-Memory Data Fabric, and explains how it compares with other in-memory technologies. He then dives into the technical details of distributed clusters and compute grids as well as distributed data grids, and provides code samples for each. As integral parts of an In-Memory Data Fabric, he also covers distributed streaming, CEP and Hadoop acceleration.

This on-demand webcast was designed for a technical audience, including Java, .NET and C++ software developers and architects, who work on the front lines of high-speed, low-latency big data systems, high-performance transactional systems and real-time analytics applications.

Don't miss out on this opportunity to learn about the latest evolution in big data speed and scalability from one of the masters.