Data quality tools often employ ________ to detect and correct errors in data.
- Parsing
- Profiling
- Scrubbing
- Standardization
Data quality tools often use data scrubbing techniques to detect and correct errors in data. Data scrubbing involves identifying and fixing inaccuracies, inconsistencies, and formatting issues in the dataset.
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