During a data migration project, you encounter numerous discrepancies in date formats. How should you handle this anomaly in the ETL process?
- Consult with stakeholders to determine the preferred date format and implement it during loading.
- Develop custom scripts to convert date formats during the transformation phase.
- Ignore the date format discrepancies as they are not critical for data migration.
- Use data profiling tools to identify and standardize date formats before transformation.
Handling date format discrepancies in a data migration project requires careful attention. Using data profiling tools helps identify variations, allowing for standardization before the transformation phase, ensuring consistency and accuracy in the loaded data.
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