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The data warehouse is evolving in many of today's business environments from a passive reporting database servicing a few users to a mission-critical, realtime repository that must support many users entering random and complex queries that rim for hours. The following hurdles are frequently encountered in today's data warehouse deployments: Multiple users rim random and complex queries in parallel, continuous data growth is unavoidable, high availability is mandatory for mission-critical applications, Growth is difficult to anticipate, with data warehouses frequently growing unexpectedly as a result of their own deployment success, hardware components need to be fully utilized to meet business objectives, achieving a balance between interdependent components is crucial to scaling.
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