• DocumentCode
    2451555
  • Title

    Multidimensional Data Model Research for Data Mart Based Analysis System of Drilling Fluid

  • Author

    Jian, Li ; Bing, Wang ; Bihua, Xu ; Dachun, Liang

  • Author_Institution
    Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    149
  • Lastpage
    152
  • Abstract
    For the sake of complex analysis requirements of drilling fluid analysis system, this paper proposes a multidimensional data model and implement the solution of data mart due to the analyzing weaknesses of conventional information system. Since the database system is only applied to undertake the daily manipulating application of raw data, and supports simple works of search and statistic, however, the data mart which is enable users to retrieval and exchange raw business data from homologous source databases, setups multidimensional data model for providing a considerable analysis circumstance to decision-makers that fills users´ complex analysis requirements. This paper has taken “drilling fluid efficiency analysis” as a typical case, and illustrated the method of data mart implementation through applying multidimensional data model.
  • Keywords
    business data processing; data models; data warehouses; decision making; electronic data interchange; information retrieval; oil drilling; data manipulation; data mart based analysis; database system; decision maker; drilling fluid analysis system; information system; multidimensional data model research; raw business data exchange; raw business data retrieval; Data models; Data warehouses; Databases; Drilling; Fluids; Servers; Web pages; Data Mart; Dimension Tables; Fact Tables; Multi-Analysis; Multidimensional Data Model; drilling fluid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.142
  • Filename
    5708732