Meta Data Quality Control Architecture in Data Warehousing
The quality is the key concept in each and every analysis as well as in computing applications. Today, the authors gather large volumes of information and store them in multidimensional mode that is in data warehouses then analyze the data to be used in exact decision making in various fields. The studies proved that most of the volumes of data are not useful for analysis due to lack of quality caused by improper data handling techniques. This paper try to find out a solution to achieve the quality of data from the foundation of data repositories and try to avoid quality anomalies at meta data level. This paper also proposes the new model of Meta data architecture.