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This chapter covers relation normalization, detailing modification anomalies, normal forms, and techniques for preventing anomalies in database relations.
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How to fill out Relation Normalization

01
Identify all the attributes of the relation.
02
Group the attributes based on their dependencies.
03
Remove any repeating groups and ensure that each set of attributes is dependent on the primary key.
04
Create separate relations for sets of attributes that are only partially dependent on a composite key.
05
Eliminate transitive dependencies by creating new relations for dependent attributes that are not directly tied to the primary key.
06
Conduct a final review to ensure that the new relations maintain all necessary dependencies and constraints.

Who needs Relation Normalization?

01
Database designers looking to optimize data structures.
02
Software developers working on applications that require efficient data storage.
03
Data analysts needing to ensure data integrity and reduce redundancy.
04
Organizations aiming to maintain high-quality databases for scalable systems.
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/ˌnɔːrmələˈzeɪʃn/ (British English also normalisation) [uncountable] (formal) ​the act of making something fit a normal pattern or condition; the fact of starting to fit a normal pattern or condition. the normalization of relations.
If people, groups, or governments normalize relations, or when relations normalize, they become normal or return to normal. The two governments were close to normalizing relations. [ VERB noun]
Normalization of relations refers to the process of establishing formal diplomatic ties and improving interactions between two countries, often after a period of conflict or hostility.
If people, groups, or governments normalize relations, or when relations normalize, they become normal or return to normal. The two governments were close to normalizing relations. [ VERB noun]
What is 1NF 2NF and 3NF? First Normal Form, or 1NF, removes repeated groups from a table to guarantee atomicity. The Second Normal Form, or 2NF, lessens redundancy by eliminating partial dependencies. In a relational database, the Third Normal Form, or 3NF, reduces data duplication by removing transitive dependencies.
Explanation: traditionally, to ``normalize'' means to change something so it lines up with established conventions. However, recently the word has gained the opposite meaning, ie to change the established conventions so that something not considered normal would become accepted.
: to make (something) conform to or reduce (something) to a norm or standard. … a standard written language that by 1776 had become normalized in grammar, spelling, and pronunciation.
/ˌnɔːrmələˈzeɪʃn/ (British English also normalisation) [uncountable] (formal) ​the act of making something fit a normal pattern or condition; the fact of starting to fit a normal pattern or condition. the normalization of relations.

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Relation Normalization is the process of organizing data in a database to minimize redundancy and improve data integrity by ensuring that the data adheres to certain rules or forms.
Entities that handle relational data systems, such as database administrators, data architects, and organizations that manage data-sensitive applications are typically required to file Relation Normalization.
To fill out Relation Normalization, one should identify the functional dependencies in the relations, ensure that the relations comply with the normal forms (1NF, 2NF, 3NF, BCNF), and document any changes made to the database schema.
The purpose of Relation Normalization is to eliminate data redundancy, prevent update anomalies, ensure data integrity, and streamline database design for efficient retrieval and maintenance.
Information that must be reported includes the identified functional dependencies, the evaluation of whether the relations meet the criteria for different normal forms, and any modifications made to the original database structure.
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