Question: Which of the following best describes data normalization in the context of data warehousing?

Options:

1. Reducing data redundancy
2. Increasing data redundancy
3. Creating summary tables
4. Storing data in flat files

Correct Answer: Reducing data redundancy

Solution:

Normalization in data warehousing aims to reduce data redundancy and improve data integrity, although denormalization is often used for performance.