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Unit 14: Quality Driven Data Warehouse Design




          Almost all current research and practice understand a data warehouse architecture as a stepwise   notes
          information flow from information sources through materialized views towards analyst clients,
          as shown in Figure 14.1.
          The key argument pursued in this paper is that the architecture in Figure 14.1 covers only partially
          the tasks faced in data warehousing and is therefore unable to even express, let alone support,
          a  large  number  of  important  quality  problems  and  management  strategies  followed  in  data
          warehouses. To illustrate this point, consider Figure 14.2 which shows the host of knowledge
          sources used in the central data warehouse a large German bank has developed for financial
          controlling.
             Figure 14.2: Multiple Knowledge Sources Influencing the Design of a Real-World Data Warehouse


















                                   (a) Loading and refreshing the ODS


















                         (b) Preparing a host of specialized multi-dimensional models

















                   (c) Personalizing information delivery and access to background information







                                           LoveLy professionaL university                                   259
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