What is Data Validation?

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Data validation is the process of verifying that data is accurate, complete, consistent, and formatted correctly before it is used for analysis or stored in a database. It involves applying rules, constraints, and validation techniques to check for errors, anomalies, or inconsistencies in datasets.

Effective data validation ensures high-quality data, enhancing the reliability of insights, predictive models, and decision-making. It helps organizations prevent faulty analysis, reduce risks, and maintain data integrity across various processes, from data entry and migration to reporting and analytics

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