What is data normalization and why is it important?

What is data normalization and why is it important?

Data normalization is the process of organizing data to reduce redundancy and improve data integrity. It's important because it helps ensure that data is stored efficiently and can be accessed easily.

Can you explain the different types of normalization?

Sure! The main types of normalization are 1NF (First Normal Form), 2NF (Second Normal Form), and 3NF (Third Normal Form). Each level addresses different types of redundancy and dependency.

How does normalization affect database performance?

Normalization can improve database performance by reducing data redundancy, which leads to faster query responses and more efficient data management.

Are there any downsides to normalization?

Yes, while normalization reduces redundancy, it can also lead to more complex queries and potentially slower performance for certain read operations due to the need for multiple joins.

When should I consider denormalization?

Denormalization might be considered when read performance is critical, and the overhead of complex joins outweighs the benefits of normalization.