Platform MapReduce Crosses Big Data and High-Performance Computing

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On June 29, 2011, Platform Computing Platform announced the availability of Platform MapReduce, the industry’s first enterprise-class, distributed runtime engine for MapReduce applications. Built on the company’s core technologies, LSF and Symphony, Platform MapReduce enables businesses to focus on moving MapReduce applications into production by providing enterprise-class manageability and scale, high resource utilization and availability, ease of operation, multiple application support and an open distributed file system architecture, including immediate support for Hadoop Distributed File System (HDFS) and Appistry Cloud IQ.

“High-Performance Analytics – a SAS specialty – happens at the intersection of Big Data and High-Performance Computing. Our mutual customers have benefited from Platform’s expertise and unique capabilities to manage and support these complex, distributed clusters,” said Paul Kent, SAS Vice President of Platform Research and Development. “Platform MapReduce is a welcome addition to the rapidly evolving Hadoop ecosystem. Platform Computing can play a critical role in the evolution and adoption of Hadoop in the Enterprise.”

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