Scenario: You are testing an ETL process for a retail company. During the validation phase, you discover that some product prices in the target database do not match the source data. What type of data validation issue is this most likely to be?
- Data Accuracy Issue
- Data Completeness Issue
- Data Consistency Issue
- Data Integrity Issue
This is likely a data consistency issue. Data consistency refers to ensuring that data remains accurate and consistent throughout its lifecycle. In this scenario, the inconsistency between product prices in the source and target databases indicates a lack of consistency in the data transformation process.
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