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- W2028861106 abstract "In the business intelligence/data warehouse user community, there is a growing confusion as to the difference between data cleansing and data quality. While many data cleansing products can help in applying data edits to name and address data, or help in transforming data during an ETL process, there is usually no persistence in this cleansing. This paper describes how we have implemented a business rules approach to build a data validation engine, called GuardianIQ, that transforms declarative data quality rules into code that objectively measures and reports levels of data quality based on user expectations." @default.
- W2028861106 created "2016-06-24" @default.
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- W2028861106 date "2002-11-04" @default.
- W2028861106 modified "2023-09-25" @default.
- W2028861106 title "Rule-based data quality" @default.
- W2028861106 cites W1430159678 @default.
- W2028861106 doi "https://doi.org/10.1145/584792.584894" @default.
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