Principles of Data Science
Data validation is the process of ensuring that the data entered or integrated into a system is accurate, complete, and meets specified criteria. This step is crucial for maintaining the integrity and reliability of datasets, especially when integrating multiple sources or assessing data quality. By implementing data validation techniques, organizations can prevent errors, reduce redundancy, and enhance overall data usability.
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