Normalization in Database Management
Normalization is a crucial process in database management that involves restructuring a relation to achieve certain desirable properties. Let's delve into the main objectives of normalization:

Minimize duplication of data in a database
One of the primary goals of normalization is to reduce redundancy in data storage. By organizing data into separate tables and establishing relationships between them, we can eliminate duplicate information. This not only conserves storage space but also enhances data integrity and consistency.

Maximize duplication of data to ensure reliability
Contrary to the previous point, the aim of normalization is not to maximize duplication of data. In fact, excessive duplication can lead to inconsistencies and anomalies in the database. Normalization helps in breaking down data into logical units, thereby reducing the chances of data redundancy and ensuring reliable information storage.

Make it of uniform size
Normalization also helps in standardizing the structure of the database by organizing data into distinct tables with well-defined relationships. This uniformity in size and format simplifies data manipulation and enhances the overall efficiency of the database system.

Allow addition of data
Another key benefit of normalization is that it facilitates the seamless addition of new data without causing disruptions to the existing database structure. By following the principles of normalization, database designers can ensure that the system remains flexible and scalable to accommodate future data growth.
In conclusion, normalization is a fundamental concept in database management that aims to optimize data storage, improve data integrity, and streamline data operations. By adhering to normalization principles, database administrators can create well-structured databases that are efficient, reliable, and adaptable to changing requirements.