Modern hardware trends and economics, combined with cloud and virtualization technology are radically reshaping today's data management landscape, ushering in a new era in which multi-machine, multi-core, memory-based computing topologies can be dynamically assembled from existing IT resources and pay-as-you-go clouds. Arguably one of the hardest problems - and consequently most exciting opportunities - faced by today's solution designers is figuring out how to leverage this on-demand hardware to build an optimal data management platform.

Read this paper to learn how to enable a fast, scalable, fault-tolerant distributed foundation for data management that runs dynamically across many environments.