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Normalization Dr. Then JiangNormalization is a process for determining what attributes go into what tables, in order to reduce the redundant copies (i.e., unnecessary duplicates). In order to understand
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01
To fill out normalization is a process, you need to follow these steps:
02
Identify the functional dependencies in the given dataset.
03
Determine the candidate keys for each entity in the dataset.
04
Choose a normalization form to aim for (such as first, second, or third normal form).
05
Apply the normalization rules to the dataset to separate data into different tables.
06
Eliminate redundancy by removing duplicated information and creating relationships between tables using primary and foreign keys.
07
Repeat the normalization process if necessary, aiming for higher normal forms.
08
Test the normalized dataset for consistency and integrity.
09
Implement the normalized design in a database management system.

Who needs normalization is a process?

01
Normalization is a process that is beneficial for anyone who works with databases or deals with data management.
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It is particularly useful for:
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- Database administrators who want to optimize database performance and storage efficiency.
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- Businesses that deal with large amounts of data and want to maintain data integrity and minimize redundancy.
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- Students studying database management or data normalization techniques.

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Normalization is a process of organizing data in a database to reduce redundancy and improve data integrity.
Database administrators and data analysts are typically responsible for implementing normalization in a database.
Normalization is implemented by following a set of rules called normal forms, such as First Normal Form (1NF), Second Normal Form (2NF), and Third Normal Form (3NF).
The purpose of normalization is to eliminate data redundancy, ensure data integrity, and improve database performance.
Information such as table structures, relationships between tables, and data attributes must be considered when implementing normalization.
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