• DocumentCode
    2662464
  • Title

    Data Warehouse Architecture through Viewpoint of Information System Architecture

  • Author

    Dias, Maria M. ; Tait, Tania C. ; Menolli, André Luís A ; Pacheco, Roberto C S

  • Author_Institution
    State Univ. of Maringa, Maringa, Brazil
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    The increasing search for computational solutions to support the decision-making led to the development of new technologies that aim to transform the large volume of data in information and knowledge useful. The data warehousing technology emerged with the aim of structuring the data in the best way possible to facilitate its access, making the process more efficient and effective. Along with it, other areas of research evolved and contribute directly or indirectly to achieve this goal, such as: OLAP (on-line analytical processing), data mining, artificial intelligence, knowledge discovery in database and business intelligence. The creation of a data warehouse (DW) involves the choice of architecture. Thus, this article presented a discussion on the origin of the DW architecture based in the information systems architecture proposed by Zachman.
  • Keywords
    data mining; data structures; data warehouses; decision support systems; OLAP; artificial intelligence; business intelligence; data mining; data structure; data warehouse architecture; data warehousing technology; decision-making; information system architecture; knowledge discovery; on-line analytical processing; Artificial intelligence; Computer architecture; Data warehouses; Decision making; Information systems; Instruction sets; Marine technology; Memory; Security; Warehousing; Data warehouse architecture; Zachman framework.; information systems architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3514-2
  • Type

    conf

  • DOI
    10.1109/CIMCA.2008.129
  • Filename
    5172591