Data profiling refers to the largely automated process of analyzing existing data sets (e.g., in a database) using various analysis techniques. Data profiling validates the existing metadata for the real data and identifies new metadata. In addition, existing data quality problems are validated, the causative data is identified and the information quality of the analyzed data is measured. Data profiling does not fix quality problems in the data, but only corrects the associated metadata.
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