SAS Goes Grid - Managing the Workload Across Your Enterprise


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Source: SAS Institute
Date: January 2008
Type: White Paper
Rating: (0)

Overview: The intensive computing requirements being placed on IT are demanding a dynamic environment to effectively manage the workload across the enterprise. As data volumes continue to grow while the window of processing time continues to shrink, applications analyzing enormous amounts of data can be optimized with shared and dynamically allocated resources. This paper explains how grid computing and scheduling have been incorporated and automated to deliver value in a highly efficient manner for SAS analytics, data integration (ETL), data mining, and business intelligence.

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