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What is Data validation?

Data validation is the process of verifying the accuracy, consistency, and integrity of data before its use in analytics, machine learning models, or business processes. It ensures data correctness by detecting errors, inconsistencies, and missing values, improving the reliability of insights derived from datasets.

Data validation
Data validation is the process of verifying the accuracy, consistency, and integrity of data before its use in analytics, machine learning models, or business processes. It ensures data correctness by detecting errors, inconsistencies, and missing values, improving the reliability of insights derived from datasets.
Data Science and Predictive Analytics
Data Science and Predictive Analytics is a field that applies data mining, machine learning, and statistical techniques to forecast future trends based on historical data. It is used in business intelligence, healthcare, and finance to optimize decision-making, risk assessment, and customer behavior analysis.
Data loss prevention software
Data loss prevention software is a security tool designed to prevent unauthorized access, leaks, or accidental loss of sensitive information. It monitors data transfers, enforces encryption, and applies security policies to protect intellectual property and personal data. DLP solutions are widely used in finance, healthcare, and legal industries to mitigate risks.