Meta Data Quality Control Architecture in Data Warehousing
نویسندگان
چکیده
منابع مشابه
Improving Data Quality in Data Warehousing Applications
There is a growing awareness that high quality of data is a key to today‟s business success and dirty data that exits within data sources is one of the reasons that cause poor data quality. To ensure high quality, enterprises need to have a process, methodologies and resources to monitor and analyze the quality of data, methodologies for preventing and/or detecting and repairing dirty data. How...
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ژورنال
عنوان ژورنال: International Journal of Computer Science, Engineering and Information Technology
سال: 2012
ISSN: 2231-3605
DOI: 10.5121/ijcseit.2012.2402