Moving Mountains of Data Without Sacrificing Performance

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With the increased merging of disparate core business systems in the enterprise–as well as the emergence of additional systems in the form of enterprise resource management, customer relationship management, hierarchical storage strategies, and other business-driven initiatives–many companies today find themselves moving mountains of data on a daily basis.

Business intelligence (BI) initiatives in particular typically rely on data warehousing strategies to provide critical information and reports to management in support of business decisions. Such strategies often require the timely transfer of enormous amounts of data from line-of-business systems.

Too much time taken in data transfer can adversely impact a company’s agility and could mean lost windows of business opportunities. It can also encroach on processing resources better devoted to core business applications.

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