In data extraction, what is the significance of data validation?
- It ensures that the extracted data meets certain criteria and is accurate
- It focuses on extracting data at a faster rate
- It involves encrypting the extracted data for security purposes
- It is the process of compressing the extracted data
Data validation in data extraction is crucial to ensure that the extracted data meets predefined criteria and is accurate. It helps maintain data quality and reliability throughout the extraction process.
Loading...
Related Quiz
- In ETL, what is the significance of idempotence in data transformation?
- In an organization shifting towards real-time data integration, what challenges might arise and how can they be addressed?
- Which ETL testing type is essential to ensure data integrity during the loading phase?
- What role does data deduplication play in optimizing data loading strategies?
- How do data volume and complexity affect test requirement analysis in ETL testing?