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Database Normalization in Database Administration
Database normalization is the process of organizing a database in a way that reduces redundancy and dependency by segmenting information into separate tables. This process helps improve data integrity and efficiency in database operations.
Importance of Database Normalization in Database Design
Database normalization plays a crucial role in database design for the following reasons:
- Reduces Data Redundancy: By breaking down data into smaller, manageable units, normalization reduces the chances of data duplication and inconsistencies.
- Improves Data Integrity: Normalization ensures that data is stored logically and consistently, reducing the risk of data anomalies and errors.
- Enhances Database Efficiency: Organizing data in a normalized form makes database operations such as querying and updating faster and more efficient.
- Eases Maintenance: Normalized databases are easier to maintain and modify as changes can be made in one place without affecting other parts of the database.
- Supports Scalability: Normalized databases are better suited for scaling as they can accommodate growth and changes in data requirements more flexibly.
Overall, database normalization is a foundational concept in database design that promotes data consistency, integrity, and efficiency, making it a key aspect of effective data management in Database Administration.
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