On October 23rd, 2014, we updated our
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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
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 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?
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 12
Alternative Data Warehouse Architectures:• EDW and ODS (real time access support) 13
Alternative Data Warehouse Architectures:•Distributed Data Warehouse Architecture 14
Alternative Architectures for Data Warehouse Efforts 15
Teradata Corp.’s EDW 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
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