Which term refers to the process of identifying and correcting (or removing) errors and inconsistencies in data?
- Data Aggregation
- Data Cleansing
- Data Profiling
- Data Transformation
The process of identifying and correcting (or removing) errors and inconsistencies in data is known as "Data Cleansing." Data cleansing involves detecting and resolving issues like missing values, duplicates, and inaccuracies, ensuring data quality and reliability.
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