Database Normalization

What is 1NF in database normalization?

• Each attribute in a relation must have a single value.

• 1NF requires all attributes to be composite.

• Each attribute in a relation must have multiple values.

• 1NF stands for First Normal Form.

What is 2NF in database normalization?

• 2NF ensures that all attributes are fully functional dependent on the primary key.

• 2NF guarantees that all non-key attributes are partially dependent on the primary key.

• 2NF allows for redundancy in the database schema.

• 2NF ensures that all non-key attributes are fully functional dependent on the primary key.

What is 3NF in database normalization?

• 3NF ensures that every attribute is dependent on the primary key

• 3NF guarantees that there are no repeating groups of data

• 3NF in database normalization ensures that every non-prime attribute is non-transitively dependent on every candidate key.

• 3NF allows for partial dependencies between attributes

What is the difference between 1NF and 2NF?

• 1NF requires a composite key, while 2NF does not

• 1NF ensures each cell has a single value, while 2NF requires non-key attributes to be fully functionally dependent on the primary key.

• 1NF allows duplicate rows, while 2NF does not

• 1NF allows partial dependencies, while 2NF does not

What is the difference between 2NF and 3NF?

• 2NF allows partial key dependencies, unlike 3NF

• 2NF always leads to 3NF normalization

• 3NF eliminates transitive dependencies, while 2NF does not.

• 3NF is concerned with atomicity, while 2NF is not

What is the difference between 1NF and 3NF?

• 1NF deals with atomic values and repeating groups, while 3NF deals with transitive dependencies.

• 1NF deals with atomic values, while 3NF deals with repeating groups.

• 1NF deals with transitive dependencies, while 3NF deals with atomic values.

• 1NF deals with repeating groups, while 3NF deals with atomic values.

Why is database normalization important?

• Database normalization increases data redundancy

• Database normalization makes the database structure less efficient

• Database normalization helps in reducing data redundancy, improving data integrity, and making the database structure more efficient.

• Database normalization decreases data integrity

What are the benefits of achieving 3NF in database design?

• Improved data redundancy, simplified data integrity, and complex database maintenance.

• Decreased data integrity, simplified data retrieval, and reduced database maintenance.

• Data redundancy reduction, improved data integrity, and simplified database maintenance.

• Increased data redundancy, faster data retrieval, and complex database maintenance.

What are some common pitfalls to avoid when normalizing a database?

• Complex normalization

• Denormalization, over-normalization, ignoring performance implications, not considering future changes

• Ignoring data integrity

• Under-normalization

How does denormalization differ from normalization?

• Normalization increases redundancy, denormalization reduces it.

• Normalization and denormalization have the same purpose.

• Denormalization introduces redundancy for performance, while normalization reduces redundancy for data integrity.

• Denormalization is used for data integrity, normalization is for performance.