What is the main purpose of data normalization in a data warehouse?
Practice Questions
1 question
Q1
What is the main purpose of data normalization in a data warehouse?
To reduce data redundancy
To improve query performance
To enhance data integrity
To simplify data retrieval
Data normalization aims to reduce data redundancy and improve data integrity, although it is less common in data warehousing compared to operational databases.
Questions & Step-by-step Solutions
1 item
Q
Q: What is the main purpose of data normalization in a data warehouse?
Solution: Data normalization aims to reduce data redundancy and improve data integrity, although it is less common in data warehousing compared to operational databases.
Steps: 5
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.
