Redwood City, Calif., and New York, Oct. 29, 2013 (GLOBE NEWSWIRE) -- At the Strata Conference + Hadoop World 2013, Informatica Corporation (Nasdaq:INFA), the world's number one independent provider of data integration software, and Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop™, support services and training, today announced a jointly designed reference architecture for optimizing data warehouses for today's data-driven business world. The new Data Warehouse Optimization (DWO) reference architecture specifically for Enterprise Data Hub deployments addresses the challenges facing traditional data warehouse infrastructures, where capacity is too quickly consumed by increasing data volumes, leading to performance bottlenecks and costly upgrades. The DWO architecture empowers companies to optimally deploy an Enterprise Data Hub, a central system to land and work with all data in a variety of ways, together with the tools, security and governance customers require. An Enterprise Data Hub is a complementary technology to data warehouse implementations, enabling them to store and process data at any scale, to dramatically reduce data warehouse costs, and to boost developer productivity by up to a factor of five. The proven core building blocks for implementing the DWO architecture are Cloudera Enterprise, a subscription offering that combines CDH, Cloudera's 100 percent open source distribution of Apache Hadoop, Cloudera Manager and Cloudera Navigator and Informatica PowerCenter Big Data Edition powered by Informatica Vibe. Informatica Vibe is the world's first and only embeddable virtual data machine (VDM), with "map once, deploy anywhere" data integration. "Legacy environments are not going away, but they need to be augmented by Hadoop-based solutions to meet the demands of big data," said Todd Goldman, vice president and general manager, Enterprise Data Integration, Informatica. "The Cloudera and Informatica Data Warehouse Optimization reference architecture helps companies leverage their existing environment with emerging technologies using readily available skills, so organizations can more affordably and efficiently unlock the massive potential of big data."