Managing data updates and transformations : a study of the what and how
Cleaning data (i.e., making sure data contains no errors) can take a large part of a project’s lifetime and cost. As dirty data can be introduced into a system through user actions (e.g., accidental rewrite of a value or simply incorrect information), or through the process of data integration, data...
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Language: | English |
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University of British Columbia
2016
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Online Access: | http://hdl.handle.net/2429/57767 |