• DocumentCode
    123317
  • Title

    Modeling ETL Process for Data Warehouse: An Exploratory Study

  • Author

    Sharma, Shantanu ; Jain, R.

  • Author_Institution
    IT Dept., Uttaranchal Univ., Dehradun, India
  • fYear
    2014
  • fDate
    8-9 Feb. 2014
  • Firstpage
    271
  • Lastpage
    276
  • Abstract
    The data warehouse facilitates knowledge workers in decision making process. A good DW design can actually reduce the report processing time but, it requires substantial efforts in ETL design and implementation. In this paper, the authors have focused on the working of Extraction, Transformation and Loading. The focus has also been laid on the data quality problem which in result leads to falsification of analysis based on that data. The authors have also analyzed and compared various ETL modeling processes. So this study would be substantially fruitful for understanding various approaches of ETL modeling in data warehousing.
  • Keywords
    data warehouses; decision making; DW design; ETL design; ETL process modeling; data quality problem; data warehouse; decision making process; extraction-transformation-loading process; knowledge workers; Data mining; Data models; Data warehouses; Load modeling; Loading; Object oriented modeling; Unified modeling language; Conceptual model; Extraction; Loading; Transformation; UML; mapping expression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing & Communication Technologies (ACCT), 2014 Fourth International Conference on
  • Conference_Location
    Rohtak
  • Type

    conf

  • DOI
    10.1109/ACCT.2014.100
  • Filename
    6783463