Scenario: Your team is tasked with designing ETL processes for a data warehouse project. How would you ensure data quality during the ETL process?
- Apply referential integrity constraints
- Implement data validation checks
- Perform data profiling
- Use incremental loading techniques
Ensuring data quality during the ETL process involves implementing data validation checks. These checks verify the accuracy, completeness, and consistency of the data being loaded into the data warehouse. By validating data against predefined rules and constraints, potential errors or discrepancies can be identified and addressed, thereby enhancing the overall quality of the data.
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