Normalization: A Beginner's Guide to DBMS"

 Normalization:

Normalization in database management systems (DBMS) is the process of organizing data in a database to minimize redundancy and improve data integrity. It involves dividing larger tables into smaller, more manageable tables and establishing relationships between them. The goal of normalization is to ensure that data is stored in a way that eliminates data redundancy and dependency, making it more consistent and accurate.

There are several levels of normalization, known as normal forms, each with its own set of rules and guidelines. The most commonly used normal forms are First Normal Form (1NF), Second Normal Form (2NF), and Third Normal Form (3NF). Each higher normal form builds upon the previous one, and it is generally recommended to follow all of them for a good database design.

First Normal Form (1NF) requires that each table has a primary key, and that all data in the table is atomic, meaning that each cell contains only a single value.

                                     

Second Normal Form (2NF) builds upon 1NF and requires that all non-key columns in the table are dependent on the primary key.

Third Normal Form (3NF) builds upon 2NF and requires that all data in the table is not dependent on any non-key column.

                                        

By following these normal forms, data is organized in a way that minimizes data redundancy, improves data integrity and makes it easier to maintain and query the database.