Why is data normalization important in data processing?
An example of an AI chatbot conversation about the significance of data normalization.
Why is data normalization important in data processing?
Data normalization is crucial as it ensures consistency, reduces redundancy, and improves data integrity.
Can you explain how it affects database performance?
Certainly! Normalization helps optimize database queries, making them faster and more efficient by reducing data duplication.
What are the different types of normalization?
There are several types, including First Normal Form (1NF), Second Normal Form (2NF), and Third Normal Form (3NF), each addressing specific issues.
Are there any downsides to normalization?
Yes, over-normalization can lead to complex queries and may impact performance in certain scenarios, so balance is key.
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