Much effort in IS is currently going into creating "Data Warehouses. The warehouse acts as a WORM (Write once Read Many times) storage. Where the extract and transfer is performed nightly, they provide access to what is termed 'Near Operational' data and can be used to replace much of the existing reporting. In other cases they are used to store mostly historical data for analysis of trends, market impact, financial status and do on. While often implemented with a variety of different clean up tools, languages, data base products and query tools, this article describes an implementation done almost entirely with APL.
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