|By Jeremy Geelan||
|March 25, 2013 09:15 AM EDT||
In-memory data grids (IMDGs) have seen rapid adoption over the last several years driven by the need to help applications scale their performance as workloads grow.
Because IMDGs host fast-changing (“operational”) data in memory across a cluster of servers, they also offer the ability to perform real-time analytics on this data as it flows through the grid. Recent advances in IMDG technology now enable Hadoop MapReduce-style analytics to be integrated into the IMDG’s architecture, performing parallel analysis even while operational data is changing. This exciting new capability creates the opportunity for real-time analysis in financial trading systems, credit card fraud detection, power systems monitoring, and many other applications.
This session by Bill Bain at 12th Cloud Expo | Cloud Expo New York [June 10-13, 2013] will explain how to use an IMDG to perform real-time analytics and will describe recent benchmark results that demonstrate its power to deliver fast results for operational systems.
Dr. William L. Bain is founder and CEO of ScaleOut Software, Inc. Bill has a Ph.D. in electrical engineering/parallel computing from Rice University, and he has worked at Bell Labs research, Intel, and Microsoft. Bill founded and ran three start-up companies prior to joining Microsoft. In the most recent company (Valence Research), he developed a distributed Web load-balancing software solution that was acquired by Microsoft and is now called Network Load Balanc¬ing within the Windows Server operating system. Dr. Bain holds several patents in computer architecture and distributed computing. As a member of the Seattle-based Alliance of Angels, Dr. Bain is actively involved in entrepreneurship and the angel community.