Why is data validation crucial in ETL processes?
- To enhance data accessibility
- To ensure data integrity
- To improve data security
- To optimize data storage
Data validation is crucial in ETL (Extract, Transform, Load) processes to ensure data integrity. It involves checking the accuracy, completeness, and consistency of the data throughout the ETL pipeline. By validating the data at each stage, errors and inconsistencies can be detected and corrected early, preventing them from propagating to downstream systems. This helps maintain the quality and reliability of the data, ensuring that it meets the requirements of the target system and is suitable for analysis and decision-making purposes.
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