An introduction to Data Warehouse, IBM's architecture for enterprise-wide data access. The author explains how to use such a system effectively, analyzing major issues including the granularity of data, the partitioning of data, metadata and the system of record.
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Addresses the issues and techniques essential for successful migration to a data warehouse, the core of decision-support processing. Explains why a split between operational and informational databases is necessary and how to do it. Analyzes and discusses such key topics as granularity of data, partitioning data, metadata, the time basis of DSS data, system of record, migration and more.
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