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BI Case Study: Grid Computing Accelerates BI Analytics

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29 out of 50 users found this white paper useful


Publisher SAS Institute
Publisher Registration Direct Access
Topics High Performance Computing, Business Intelligence / Data Warehousing Date added 15 Nov 2004
Downloads 28 Format HTML

At the National Institute of Environmental Health Sciences (NIEHS), life-saving research is a core competency. NIEHS scientists felt a lack of computing and analytic horsepower for their data warehouse, which was slowing down their groundbreaking research into the environmental causes of cancer. SAS helped them to develop a unique solution that marries conventional approaches to data mining with grid computing technology. SAS/Connect is based on an SAS feature called MP Connect, which allows multiple SAS sessions to run in parallel, each comprising an instance of a larger application. They are now using SAS solution to mine extremely large datasets that can tax even the beefiest of server hardware platforms.

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