How does data normalization affect Data Warehousing?
- Enhances Data Integrity
- Improves Performance
- Increases Storage Efficiency
- Reduces Redundancy
Data normalization in Data Warehousing helps reduce data redundancy by organizing data into logical, smaller units, thereby improving storage efficiency and enhancing data integrity. However, normalization may lead to more complex queries and potentially impact query performance.
Loading...
Related Quiz
- How do data volume and complexity affect test requirement analysis in ETL testing?
- In complex ETL processes, what advanced feature should a performance testing tool offer?
- Which of the following is a crucial component of a test environment in ETL?
- What is the primary purpose of using metrics and KPIs in ETL testing?
- How does data profiling contribute to data validation in ETL processes?