An organization is consolidating data from different sources into a unified system. Numeric fields in the source systems are stored as text, and the organization seeks to convert them into numeric fields during migration. Which approach ensures accuracy and reliability during the conversion process?
Utilize the source system to handle all necessary field validations before migration
Implement a process that individually validates each converted value to meet both numeric and acceptable range criteria
Check a few converted records to confirm they align with expectations
Assume the conversion is correct if the process completes without recorded errors
You should verify post-transformation that the fields are valid numeric values within defined acceptable limits, prior to saving in the new data repository. Comprehensive validation reduces the risk of errors. Checking a limited sample manually offers insufficient coverage. Assuming source system validations or relying solely on the tool's lack of errors may lead to undetected issues in transformation.
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What does it mean to validate each converted value?
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Why is sampling a few converted records insufficient for validation?
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What are the risks of assuming the conversion is correct if there are no recorded errors?