What is the purpose of data normalization in a data warehouse?

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Question: What is the purpose of data normalization in a data warehouse?

Options:

Correct Answer: To reduce data redundancy

Solution:

Normalization aims to reduce data redundancy and improve data integrity, although data warehouses often use denormalization for performance.

What is the purpose of data normalization in a data warehouse?

What is the purpose of data normalization in a data warehouse?

Correct Answer: Data normalization ka purpose data redundancy ko kam karna aur data integrity ko improve karna hai.

Step 1: Understand what data normalization means. It is a process used to organize data in a database.
Step 2: Know that the main goal of normalization is to reduce data redundancy. This means avoiding duplicate data.
Step 3: Learn that normalization helps improve data integrity. This means ensuring that the data is accurate and consistent.
Step 4: Recognize that in data warehouses, normalization is often not used as much. Instead, they may use denormalization.
Step 5: Understand that denormalization is used in data warehouses to improve performance, making data retrieval faster.

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