Going In-Memory with Pivotal GemFire and Spring
Speakers: Blake Connell, Samrat Ray, David Turanski Rapid change has come to traditional data management. The emergence of round-the-clock applications accessed from a variety of device types has strained the old way of handling data. New, in-memory data systems delivering high performance and simple scale-out are what's needed. Unlike most new entrants in this space, VMware is longtime pioneer with a deep understanding of in-memory data systems. GemFire v 7.0 builds on years of production deployments delivering not only speed and scale but data reliability. Writing new modern applications for GemFire has never been easier with the Spring Data GemFire project. On the operations side, IT pros will find that the new monitoring and management facilities greatly simplify running GemFire. View http://www.pivotal.io/big-data/pivotal-gemfire to learn more about Pivotal GemFire.