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Data Warehousing and Data Mining




                    notes            international expansion
                                     Based on the success of InSight in the US and Canada, FedEx extended the service to other
                                     countries simply by adding global modules. With geographic validation for every country
                                     on the globe and in-depth support for more than 60 countries in Europe, Asia-Pacific, and
                                     the Americas, the Trillium Software System kept up with FedEx InSight.

                                   14.5 summary


                                   l z  We  have  presented  a  comprehensive  approach  how  to  improve  the  quality  of  data
                                       warehouses  through  the  enrichment  of  metadata  based  on  explicit  modeling  of  the
                                       relationships between enterprise models, source models, and client interest models.
                                   l z  Our  algorithms,  prototypical  implementations,  and  partial  validations  in  a  number  of
                                       real-world  applications  demonstrate  that  an  almost  seamless  handling  of  conceptual,
                                       logical,  and  physical  perspectives  to  data  warehousing  is  feasible,  considering  a  broad
                                       range of quality criteria ranging from business-oriented accuracy and actuality to technical
                                       systems performance and scalability.

                                   14.6 keywords

                                   Data Mining: Data mining is a technology that applies sophisticated and complex algorithms to
                                   analyze data and expose interesting information for analysis by decision makers.
                                   Data Warehouse: Data warehouses support business decisions by collecting, consolidating, and
                                   organizing data for reporting and analysis with tools such as online analytical processing (OLAP)
                                   and data mining.
                                   DWQ: DWQ provides assistance to DW designers by linking the main components of the data
                                   warehouse reference architecture to a formal model of data quality.
                                   OLAP:  Online  analytical  processing  (OLAP)  is  a  technology  designed  to  provide  superior
                                   performance for ad hoc business intelligence queries.

                                   14.7 self assessment

                                   Choose the appropriate answers:
                                   1.   DWQ stands for:

                                       (a)   Database Warehouse Quality
                                       (b)   Data Warehouse Quantity
                                       (c)   Data Warehouse Quality
                                       (d)   Document Warehouse Quality

                                   2.   OLAP stands for:
                                       (a)   Online Analytical Processing
                                       (b)   Offline Analytical Processing
                                       (c)   Online Analytical Programming
                                       (d)   Online Available Processing








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