What is a major challenge when implementing automated testing in ETL processes?
- Data Extraction
- Data Quality
- Data Volume
- Manual Effort
Handling large data volumes is a major challenge in automated ETL testing. The automated process needs to efficiently manage and validate substantial amounts of data, which can be resource-intensive.
Loading...
Related Quiz
- Which type of ETL testing focuses on verifying the extraction of data from source systems?
- If an ETL process is taking longer than expected due to large data volumes, what optimization strategies should be considered?
- What is the impact of metadata management on data lake testing?
- How should a testing team manage risks when integrating ETL processes with new, unfamiliar data sources?
- How does data virtualization contribute to efficient Test Data Management?