Which technique is commonly used for ensuring data accuracy and completeness?
- Aggregation
- Data Extraction
- Data Profiling
- Sampling
Data Profiling is commonly used in the ETL process to ensure data accuracy and completeness. It involves analyzing and summarizing data to identify patterns, anomalies, and inconsistencies, helping in making informed decisions about data quality.
Loading...
Related Quiz
- A data discrepancy is found during ETL testing. How should the testing team proceed to effectively report and resolve the defect?
- ________ in BI tools is crucial for handling large volumes of data efficiently.
- In a scenario where the ETL process needs continuous updates and integration, how would you decide the balance between automated and manual testing?
- In data transformation logic, what is the significance of a merge transformation?
- A company discovers a data breach in its ETL process. What steps should be taken to identify and mitigate the security flaw?