Measurement of Quality Parameters for Data Warehouse

MD. Ilyas Khan1 and R. K. Singh2

1Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P.)-462021, India.

2Former Vice Chancellor, M. P. Bhoj (Open) University, Bhopal.


Data Mining and warehousing is very challenging and interesting field in Computer Science and Information Technology. This field is still in its infant stage and thus a limited documentation on Data Warehousing processes available. As we know that now a days a number of organizations are witching from DBMS to Warehouse to manage their large volume of data. The only thing which can be deal with large, Huge Academic Data is Data Warehouse. In general Quality can be defined as Measure of excellence or state of being free from defects, deficiencies, and significant variations. ISO 8402-1986 standard defines quality as “the totality of features and characteristics of a product or service that bears its ability to satisfy stated or implied needs.” A data warehouse is also a software product and designed to meet the requirements of the user. The user only appreciate Quality Products. So it is very much needed to device such methods which can be used to measure the Data Warehouse. For Measurement of quality of a Data Warehouse is very much needed and we must need an understanding about this Technology. We have presented a simplified approach in this paper for measurement of Warehouse.

Keywords: Quality, Data warehouse, Data mining, Evaluation parameters, and Measurement.

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