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   The major components of a data    warehousing process     Data sources     Data extraction     Data loading     Co...
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   Three parts of the data warehouse     The data warehouse that contains the data and      associated software     Dat...
Architecture of a three-tierdata warehouse                               6
Architecture of a two tier datawarehouse                                  7
Architecture of web based data warehousing.                                              8
   Issues to consider when deciding which    architecture to use:     Which database management system (DBMS) should    ...
Alternative Data Warehouse Architectures:• EDW Architecture                                            10
Alternative Data Warehouse Architectures:• Data Mart Architecture                                            11
Alternative Data Warehouse Architectures:• Hub-and-Spoke Data Mart Architecture                                           ...
Alternative Data Warehouse Architectures:• EDW and ODS (real time access support)                                         ...
Alternative Data Warehouse Architectures:•Distributed Data Warehouse Architecture                                         ...
Alternative Architectures for Data Warehouse Efforts                                                       15
Teradata Corp.’s EDW                       16
Ten factors that potentially affect the architecture selectiondecision: 1.   Information                  5.  Constraints ...
   DECISION SUPPORT SYSTEMS AND    BUSINESS INTELLIGENCE. Turban   Modern Data Warehousing, Mining, and    Visualization...
3 dw architectures
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3 dw architectures

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Arquitectura DW

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3 dw architectures

  1. 1. 2
  2. 2.  The major components of a data warehousing process  Data sources  Data extraction  Data loading  Comprehensive database  Metadata  Middleware tools 3
  3. 3. 4
  4. 4.  Three parts of the data warehouse  The data warehouse that contains the data and associated software  Data acquisition (back-end) software that extracts data from legacy systems and external sources, consolidates and summarizes them, and loads them into the data warehouse  Client (front-end) software that allows users to access and analyze data from the warehouse 5
  5. 5. Architecture of a three-tierdata warehouse 6
  6. 6. Architecture of a two tier datawarehouse 7
  7. 7. Architecture of web based data warehousing. 8
  8. 8.  Issues to consider when deciding which architecture to use:  Which database management system (DBMS) should be used?  Will parallel processing and/or partitioning be used?  Will data migration tools be used to load the data warehouse?  What tools will be used to support data retrieval and analysis?
  9. 9. Alternative Data Warehouse Architectures:• EDW Architecture 10
  10. 10. Alternative Data Warehouse Architectures:• Data Mart Architecture 11
  11. 11. Alternative Data Warehouse Architectures:• Hub-and-Spoke Data Mart Architecture 12
  12. 12. Alternative Data Warehouse Architectures:• EDW and ODS (real time access support) 13
  13. 13. Alternative Data Warehouse Architectures:•Distributed Data Warehouse Architecture 14
  14. 14. Alternative Architectures for Data Warehouse Efforts 15
  15. 15. Teradata Corp.’s EDW 16
  16. 16. Ten factors that potentially affect the architecture selectiondecision: 1. Information 5. Constraints on resources interdependence between 6. Strategic view of the data organizational units warehouse prior to 2. Upper management’s implementation information needs 7. Compatibility with existing 3. Urgency of need for a data systems warehouse 8. Perceived ability of the in- 4. Nature of end-user tasks house IT staff 9. Technical issues 10. Social/political factors
  17. 17.  DECISION SUPPORT SYSTEMS AND BUSINESS INTELLIGENCE. Turban Modern Data Warehousing, Mining, and Visualization: Core Concepts. George M. Marakas Modern Database Management.9th Edition.Jeffrey A. Hoffer, Mary B. Prescott, Heikki Topi
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