Database Normalisation Questions
Database normalization is important for several reasons:
1. Elimination of data redundancy: Normalization helps in reducing data redundancy by organizing data into multiple related tables. This ensures that each piece of data is stored only once, reducing storage space and improving data consistency.
2. Data consistency and integrity: Normalization helps in maintaining data consistency and integrity by eliminating anomalies such as update, insert, and delete anomalies. By breaking down data into smaller, more manageable tables, normalization ensures that changes made to one table are reflected consistently across the entire database.
3. Improved data retrieval and query performance: Normalization allows for efficient data retrieval and query performance. By breaking down data into smaller tables, it becomes easier to search and retrieve specific information, resulting in faster query execution.
4. Simplified database maintenance: Normalization simplifies database maintenance by reducing the complexity of data management. With normalized tables, it is easier to update, insert, and delete data without affecting other parts of the database.
5. Scalability and flexibility: Normalization provides scalability and flexibility to the database design. As the database grows and evolves, normalization allows for easier modifications and additions to the database structure without impacting the existing data.
Overall, normalization ensures that databases are well-structured, optimized, and maintainable, leading to improved data quality, reliability, and efficiency.