Munawar, Munawar and Salim, Naomie and Ibrahim, Roliana (2012) Comparative study of data quality dimension for data warehouse develoent : a survey. In: International Conference on Advanced Machine Learning Technology and Applications.
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Official URL: https://www.researchgate.net/publication/312495333...
Abstract
Due to the increasing complexity of data warehouse (DW), continuous attention must be paid for evaluation of their quality throughout their design and development. DW quality depends on the quality of all requirements, conceptual, logical and physical models used for DW design. Therefore, identification of various data quality (DQ) dimensions in those phase of DW development are very much needed. In this paper, we surveyed and evaluated the literature related to the DQ dimension in every phase of DW development and proposed an integrated approach for incorporating DQ in DW development in order to minimize risk of DW project failure.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Data quality, dimension, data warehouse |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineer. Computer hardware |
| Divisions: | Computer Science and Information System |
| ID Code: | 34030 |
| Deposited By: | Liza Porijo |
| Deposited On: | 22 Aug 2017 01:32 |
| Last Modified: | 26 Sep 2017 07:54 |
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