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Data validation checks are critical for preserving data integrity during migration. This process involves verifying that the data being moved from one system to another remains unchanged and accurate throughout the migration process. By implementing data validation checks, organizations can identify any discrepancies, errors, or data losses that may occur during migration. These checks can include comparing source data to destination data, ensuring that all records have been successfully transferred, and validating data formats and types.

The other methods, while they may contribute to the overall process of data migration, do not specifically target data integrity in the same way. For instance, manual coding can introduce human errors and inconsistencies; frequent backups ensure data availability but do not address integrity during the migration; and using only new hardware may enhance performance but does not inherently safeguard the integrity of the data being migrated. In summary, data validation checks serve as a fundamental measure to confirm that the data remains intact and reliable post-migration, which is essential for maintaining data integrity.