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

Practice Questions

Q1
What is the purpose of data normalization in a data warehouse?
  1. To reduce data redundancy
  2. To improve query performance
  3. To enhance data integrity
  4. To simplify data retrieval

Questions & Step-by-Step Solutions

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.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely