• DocumentCode
    3407665
  • Title

    Generating data mart schema from OLAP requirements

  • Author

    Arfaoui, Nouha ; Akaichi, Jalel

  • Author_Institution
    BESTMOD-Inst. Super. de Gestion, Le Bardo, Tunisia
  • fYear
    2013
  • fDate
    24-26 March 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Warehousing projects can know cases of failure because they did not take into consideration the users´ needs especially if they are not experienced with the technologies of data warehouses. The solution consists on building the data warehouse incrementally by designing and implementing one data mart at a time. In this work we propose a method to design data mart schema from OLAP requirements that are presented as schemas and grouped according to their domain. We apply the data integration technique to merge the different schemas so that we get one data mart schema by group. The integration is composed by schema matching (detecting semantic correspondence and the conflicts) and schema mapping (solving the existing conflict).
  • Keywords
    data mining; data warehouses; OLAP requirements; data integration technique; data mart schema; data warehouses; schema mapping; schema matching; Atomic measurements; Data models; Data warehouses; Databases; Erbium; Merging; Semantics; Data Mart design; OLAP Requirements Schema; Schema Integration; Schema Mapping; Schema Matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and e-Services (ICITeS), 2013 3rd International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4799-0131-9
  • Type

    conf

  • DOI
    10.1109/ICITeS.2013.6624066
  • Filename
    6624066