Normalization is a database design technique that improves the integrity and efficiency of data by reducing data redundancy and promoting data normalization...
Normalization is a database design technique that improves the integrity and efficiency of data by reducing data redundancy and promoting data normalization.
1NF (First Normal Form) is the most basic form of data normalization, where each attribute must be atomic (meaning it can only have one value). For example:
2NF (Second Normal Form) is a step beyond 1NF, where each attribute is a candidate key. A candidate key is a set of attributes that uniquely identify a record in the database.
3NF (Third Normal Form) is the highest level of normalization, where each attribute is a key. A key is a set of attributes that uniquely identify a record in the database and cannot be expressed as a subset of other attributes.
BNF ( Boyce-Codd Normal Form) is a more advanced form of normalization that requires all candidate keys to be atomic and not nullable (meaning they must have a valid value).
Benefits of normalization:
Reduced data redundancy: Normalization eliminates duplicate or redundant data, leading to more efficient data storage and retrieval.
Improved data integrity: By enforcing data constraints, normalization ensures that data is consistent and accurate.
Enhanced query performance: Normalized data is easier to query, as the database can quickly find and retrieve relevant data.
Reduced risk of data errors: By reducing data redundancy and enforcing data constraints, normalization minimizes the chances of introducing errors