Article: Nearline and archiving in the data warehouse: what's the difference?(Storage Expo 2008)

In recent years, data warehouses have begun to increase radically in size. To maintain acceptable performance in the face of this "data explosion", several techniques have been introduced. These include pre-building aggregates and Key Performance Indicators (KPI's) from large amounts of detailed transaction data, and indexing as many columns as possible in order to speed up query processing. As data warehouses continue to grow, however, the time required to do all the necessary preprocessing of data increases to the point where these tasks can no longer be performed in the available "batch windows" when the warehouse is not being accessed by users. So, trade-offs need to ...

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