The explosion in data volumes and the increasing complexity of new data types have added stress to traditional data warehouses and raised the cost to store years of data on expensive hardware environments that require specialist DBA resources. Information lifecycle management initiatives, while attractive as an architectural concept, have proven difficult to implement, as organizations struggle with defining the business rules for which data classes require disk versus lower-cost storage options. For many organizations, a more straightforward and practical step has been to...

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