| definition |
Process of detecting and correcting corrupt or inaccurate records from a dataset.
Data cleaning is a continuous process that requires corrective actions throughout
the data lifecycle. Data cleaning involves identifying, replacing, modifying or deleting
incomplete, incorrect, inaccurate, inconsistent, irrelevant, and improperly formatted
data. Typically, the process involves updating, correcting, standardising, and de-duplicating
records to create a single view of the data, even if they are stored in multiple disparate
systems.
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