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This document discusses the concepts of relational normal forms, including functional dependencies, various anomalies, and the intricacies of normalization up to the fifth normal form (5NF). It emphasizes
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How to fill out relational normal forms

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How to fill out Relational Normal Forms

01
Identify the entities and attributes in your database.
02
List all the functional dependencies between these entities.
03
Organize your data into tables based on the identified entities.
04
Ensure that each table is in First Normal Form (1NF) by eliminating duplicate columns and ensuring each column contains atomic values.
05
Ensure that each table is in Second Normal Form (2NF) by removing partial dependencies; each non-key attribute must be fully functional dependent on the primary key.
06
Ensure that each table is in Third Normal Form (3NF) by removing transitive dependencies; non-key attributes must not depend on other non-key attributes.
07
Consider Boyce-Codd Normal Form (BCNF) if there are cases of overlapping candidate keys.
08
Continue to higher normal forms as necessary, considering performance and practicality.

Who needs Relational Normal Forms?

01
Database designers and architects who create and maintain databases.
02
Software developers who build applications that interact with databases.
03
Data analysts who need to understand data structure for querying.
04
Businesses looking to manage data efficiently and reduce redundancy.
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The normal forms in database normalization are zero normal form (0NF), first normal form (1NF), second normal form (2NF), third normal form (3NF), Boyce-Codd normal form, fourth normal form (4NF) and fifth normal form (5NF).
Fifth normal form (5NF), also known as projection–join normal form (PJ/NF), is a level of database normalization designed to remove redundancy in relational databases recording multi-valued facts by isolating semantically related multiple relationships.
First normal form: each table needs a primary key. Second normal form: any column that is not the primary key needs to depend on the primary key. Third normal form: any column that is not the primary key is only dependent on the primary key (and no other columns)
4NF and 5NF are both further stages of database normalization wherein the goal is to remove data redundancies. 4NF specific concentrates on dealing with multi-valued dependencies and on the other hand 5NF deal with join dependencies.
A given relation is said to be in its third normal form when it's in 2NF but has no transitive partial dependency. Meaning, when no transitive dependency exists for the attributes that are non-prime, then the relation can be said to be in 3NF.
In subject area: Computer Science. Fourth Normal Form (4NF) in database design refers to a level of organization that builds upon the principles of third normal form (3NF). It handles specific complex situations that may arise occasionally in relational databases, aiming to further optimize the design of relations.
A relation is in a "normal form" if it satisfies a certain set of constraints. First Normal Form (1NF): A relation's underlying domains contain atomic values only. Second Normal Form (2NF): A relation's every nonkey attribute is fully dependent on the primary key.

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Relational Normal Forms are a set of guidelines used in database design to reduce data redundancy and improve data integrity by organizing database tables and their relationships.
Database developers and data architects are typically required to apply Relational Normal Forms when designing and structuring databases to ensure efficient data management and query performance.
To fill out Relational Normal Forms, follow a step-by-step process including identifying the data entities, defining primary keys, organizing the entities into tables, ensuring that each table adheres to the rules of normalization (1NF, 2NF, 3NF, etc.), and documenting the relationships between tables.
The purpose of Relational Normal Forms is to eliminate data redundancy, enhance data integrity, simplify data management, and optimize query performance in relational databases.
Information to be reported includes the entities, their attributes, primary keys, foreign keys, relationships among entities, and any functional dependencies that exist.
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