Distributed main-memory data management for demanding server side applications - Vendor Webcast

Learn about an innovative distributed main-memory based operational data infrastructure that brings data and events into one distributed platform. Applications can focus on what matters most -- operating on business objects and relationships. Interested applications are immediately notified when the data model changes. Data can be co-located in process, partitioned across many servers, optionally stored on disk and accessible at memory speeds. With support for distributed transactions data coherancy and correctness is always ensured.

This Webcast will also cover use cases where such operational data infrastructure applies, including:

• SOA
• Web applications
• Grid Computing

Gideon Low
Senior Technical Architect, GemStone Systems
Gideon has over 10 years of development, management and sales experience for high-performance large-scale distributed systems. The past seven years, he has been focused on high-speed electronic trading systems, with roles including CTO at Silicon Summit Technologies and VP Client Connectivity Technology at Lehman Brothers. He joined GemStone over one year ago to help financial institutions use GemFire in their most demanding high-performance environments.

Jags Ramnarayan
Chief Architect, GemStone Systems
Jags has over 15 years of development and management experience, and has been active in the field of distributed high performance computing. He is responsible for the direction of high-performance distributed data management software at GemStone. In the past, Jags was the Web Services architect for BEA (WebLogic Server) and represented BEA for several standards - W3C SOAP, JAXM, etc. Jags has represented GemStone in J2EE platform specification and EJB expert groups.