A product distributor loads new customer data files from multiple vendors each day. A script compares the data type in each field of the incoming files to the existing table structure before accepting new records. Which procedure is taking place here?
A script that checks whether each field matches the required format is an example of data field-to-data type validation. This step identifies rows that do not conform and prevents them from contaminating the final system. Encryption preserves data confidentiality, but it does not confirm schema alignment. A data dictionary is important for understanding field definitions, though it does not automate reject processes. Backup scheduling protects data against loss, yet it does not enforce data type checks.
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What exactly is data field type validation?
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Why is data field type validation important?
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What is the difference between data validation and data encryption?