October 13, 2010 – As the culmination of an acquisition this summer, EMC Corporation this morning launched its EMC Greenplum Data Computing Appliance, an integrated data warehousing system.
The EMC Greenplum Data Computing Appliance is the “cornerstone” innovation of Greenplum’s move from mid-level upstart vendor to new division of a larger corporation, says Mike Maxey, director of product marketing, EMC data computing products division.
The new system delivers data loading performance at 10 terabytes per hour, centered on Greenplum’s massively parallel processing architecture. It also enables private cloud virtualized warehousing and analytics infrastructure, and provides deduplication and recovery based on technology from Data Domain, another recent EMC acquisition, Maxey says.
It’s part of a purpose-built business analytics platform that has its eye on “big data” analysis, like honing information on fraud detection or data mining, said Bill Cook, head of EMC’s computing products division.
“For our customers, this flood of information from varied sources is clearly impacting all aspects of their operations and is transforming business models as they look to efficiently mine that information for business advantage,” Cook said in a news release.
EMC finalized the acquisition in July and picked Cook, then-Greenplum CEO, as senior vice president and general manager of the new division. In the 75 days before today’s product roll out, EMC had increased the new division’s personnel by 30 percent and released an updated version of Greenplum Database, according to an EMC news release.
Following the release of the Greenplum Data Computing Appliance, Maxey says his division expects to announce more analytics applications and innovations in the near future.
“We’re able to do things now that we only dreamed of as a start up,” he says.
Along with the product release, EMC also announced Wednesday is venture into consulting, professional services, support and training for data warehousing and business analytics, particularly with deployment and optimization of the new system.
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