Quality checks ensure data accuracy, completeness, and consistency through methods like type validation, null checks, and consistency verification. Sample testing reviews a subset of data to confirm its quality and correctness. Automating validation speeds up the process, especially for large datasets, improving efficiency, reducing manual effort, and enhancing reliability.
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Data Validation
