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

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

Options:

  1. To reduce data redundancy
  2. To improve query performance
  3. To enhance data integrity
  4. To simplify data retrieval

Correct Answer: To reduce data redundancy

Solution: 

Data normalization aims to reduce data redundancy and improve data integrity, although it is less common in data warehousing compared to operational databases.

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

Practice Questions

Q1
What is the main 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 main purpose of data normalization in a data warehouse?
Correct Answer: Data normalization ka main 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 to reduce duplication.
  • Step 2: Recognize that data redundancy is when the same piece of data is stored in multiple places, which can lead to inconsistencies.
  • Step 3: Learn that data integrity refers to the accuracy and consistency of data over its lifecycle.
  • Step 4: Know that in a data warehouse, the main goal is to analyze data rather than to manage day-to-day operations, so normalization is less common.
  • Step 5: Conclude that while normalization helps reduce redundancy and improve integrity, data warehouses often use different methods to handle data.
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