With the increasing volume of data, what new approaches should be considered for performance testing in ETL?
- Continue using traditional performance testing methods
- Ignore performance testing due to data volume
- Implement distributed processing techniques
- Optimize data storage only
As data volumes grow, traditional performance testing methods may become insufficient. New approaches such as implementing distributed processing techniques become crucial to handle the increased workload efficiently. Distributed processing enables parallel execution across multiple nodes, enhancing performance and scalability in ETL processes.
Loading...
Related Quiz
- In ETL testing, how does version control help in collaborative development?
- During a data migration project, how should data validation and verification be handled to ensure data accuracy and integrity?
- In modern ETL processes, how has cloud computing impacted data integration?
- How do data lineage and metadata management contribute to data governance compliance?
- ________ is an advanced method for verifying data quality, especially in large-scale data integration scenarios.