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Demand: A Data Quality System Based on Conditional Functional Dependencies Weighed Fan1,2, Flores Geerts1, Cuba Jia1, 2 1 Bell Laboratories University of Edinburgh weighed inf., fleets inf., Cuba.
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Semandaq a data quality is a tool or system used to assess and improve the quality of data.
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The purpose of semandaq a data quality is to ensure that data is accurate, reliable, and meets specific standards or requirements. It helps identify and address any issues or errors in the data.
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The specific information that must be reported on semandaq a data quality can vary depending on the context or purpose of using the tool. It may include data attributes, data source, data cleansing activities, data quality metrics, etc.
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