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Data warehousing has come a long way from its inception. In the present scenario, data warehousing is evolving into rich system which is capable of furnishing key performance metrics to top-level management, capability of analytical strength to middle-level management and corrective data back to bottom-level based on information derived from the analytical system. The data warehouse market is currently edged by business-driven solutions focusing on domain specific challenges. The present business nuances of the global village crop up innovative and stiffer challenges for the data warehouse designers and architects.
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