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120  Part II  •  Descriptive Analytics


                                                                 No data marts option
                            Data                                                           Applic
                                                                                           App
                                                                                           Applic
                                                                                           Applic
                                                                                           App
                                                                                           A A App
                                                                                           Applic
                                                                                           Applicationstioatatacaliliclic ttataaaaaaaaaaccliccccccccccccccpp
                           Sources                                   Access               ( (Visualization)ataazazzziziillaVisua
                                          ETL
                                                                                              R R R R R
                                                                                              Ro
                                        Process                                               Routineutuoooo
                                                                                              businessinsinsssssuuuuuuuuuuuuuuu
                             ERP                                                              b b b b b b b b b b b b b b b b b
                                                                    Data mart                 reportsoppppppepepepeeeeeeeeeeeeeee
                                                                                              r r r r r r
                                         Select                    (Marketing)
                           Legacy                     Metadata                    re  re  re  r  r  r  r
                                                                                              D D D D D D D D D D D D D
                                                                                              Data/text
                                                                                              D D D D D D D D D D D D D Da
                                                                                              D D D D D D Da
                                                                                              Daaaaaaaa
                                         Extract                    Data mart     war  war  war  war  war  war  war  war  w  w  w  w  w  w  w  w  w  w  w  w  w  w  D Da t a at a a a a
                                                                   (Engineering)  API/Middleware  mining
                            POS        Transform     Enterprise
                                                       Data         Data mart                 OLAP,
                                        Integrate    Warehouse      (Finance)                 Dashboard,
                            Other                                                             Web
                          OLT/WEB
                                          Load                      Data mart
                           External                                   (. . .)                 Custom-built
                                                                                              applications
                            data                     Replication
                figure 3.3  A Data Warehouse Framework and Views.
                                       • Middleware tools.  Middleware tools enable access to the data warehouse. Power
                                         users such as analysts may write their own SQL queries. Others may employ a man-
                                         aged query environment, such as Business Objects, to access data. There are many
                                         front-end applications that business users can use to interact with data stored in the
                                         data repositories, including data mining, OLAP, reporting tools, and data visualiza-
                                         tion tools.
                                    sectiOn 3.3 revieW QuestiOns
                                      1. Describe the data warehousing process.
                                      2. Describe the major components of a data warehouse.
                                      3. Identify and discuss the role of middleware tools.


                                    3.4  Data Warehousing arChiteCtures
                                    There are several basic information system architectures that can be used for data ware-
                                    housing. Generally speaking, these architectures are commonly called client/server or
                                    n-tier architectures, of which two-tier and three-tier architectures are the most common
                                    (see Figures 3.4 and 3.5), but sometimes there is simply one tier. These types of multi-tiered












                                                     Tier 1:            Tier 2:             Tier 3:
                                                 Client workstation  Application server  Database server
                                    figure 3.4  Architecture of a Three-Tier Data Warehouse.








           M03_SHAR9209_10_PIE_C03.indd   120                                                                     1/25/14   7:35 AM
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