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.
Founder & CTO, GridGain Systems
Nikita Ivanov is founder and CTO of GridGain Systems, started in 2007 and funded by RTP Ventures and Almaz Capital. Nikita provides the vision and leadership at GridGain to develop the world’s top in-memory computing platform, now used by thousands of organizations around the globe to power business-critical systems and enable digital transformation initiatives.
Nikita has over 20 years of experience in software application development, building HPC and middleware platforms, and contributing to the efforts of other startups and notable companies including Adaptec, Visa and BEA Systems. Nikita was one of the pioneers in using Java technology for server side middleware development while working for one of Europe’s largest system integrators in 1996.
He is an active member of Java middleware community, contributor to the Java specification, and holds a Master’s degree in Electro Mechanics from the Baltic State Technical University, Saint Petersburg, Russia.