To ensure the quality of ETL processes, it is essential to perform ________ on both source and target data.
- Data Cleansing
- Data Migration
- Data Profiling
- Data Validation
Data profiling is a crucial practice in ETL testing that involves analyzing and assessing the quality of data in both source and target systems. This ensures that the data meets the desired standards and is suitable for processing.
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