Velocidata launches a new Data Sort Product suite for speedy critical data sort functions, and Western Union selects Cloudera Enterprise to centralize its customer data in an enterprise data hub.
Velocidata announces Data Sort Product Suite. Big data company Velocidata announced the availability of a new product suite that includes improved price/performance for critical data sort functions. The solution leverages a combination of CPU, GPU and FPGA (Field Programmable Gate Array) processors. By dedicating specially configured processor logic to eliminate the bottlenecks that plague conventional approaches to sort execution, VelociData appliances achieve near-wirespeed performance. In one use case with a financial institution VelociData sorted 500 million rows of user data four times faster than the institution’s existing environment. Sort functions play an essential role in data warehousing and analytic environments. VelociData solutions easily snap into existing infrastructures and do not require complex coding skills.
Cloudera selected by Western Union. Cloudera announced that The Western Union Company is working with Cloudera to centralize its global customer data in an enterprise data hub to drive pattern recognition and predictive modeling. To serve its more than 70 million global customers Western Union will use Cloudera Enterprise to more efficiently store, conduct and process real-time analysis on one of the world’s largest enterprise data sets. “It is business-critical for companies to collect, store and analyze their data in order to better serve their customers," said Mike Olson, chairman, founder and chief strategy officer for Cloudera. "Western Union’s Hadoop-powered enterprise data hub deployment is precisely the kind of use case that Cloudera is uniquely equipped to address. Through its use of Cloudera Enterprise, the company is utilizing its data to drive new levels of business and customer insight, extending those benefits across its global organization. Cloudera worked closely with Western Union to ensure that they were well equipped to maximize their data analytics deployment, and achieve business critical insights that support the company’s omni-channel evolution.”
