What are the different types of database normalization and how do they ensure efficient and organized data storage?

Types of Database Normalization

1. First Normal Form (1NF): In 1NF, each table cell should contain a single value, and each column should have a unique name. This helps eliminate duplicate data and reduces data redundancy.
2. Second Normal Form (2NF): To achieve 2NF, a table must be in 1NF and all non-key attributes should be fully dependent on the primary key. This reduces inconsistencies and anomalies in the data.
3. Third Normal Form (3NF): 3NF builds on 2NF by ensuring that no transitive dependencies exist. This means that all attributes are dependent only on the primary key, not on other non-key attributes. This further reduces data redundancy and improves data integrity.

Database normalization ensures efficient and organized data storage by reducing data redundancy, minimizing update anomalies, and maintaining data integrity. By structuring the database tables in a normalized form, it becomes easier to manage and query the data effectively. This leads to faster query performance, easier maintenance, and improved scalability of the database system.