Introduction

Normalization in a database is a unique technique that is used to organize data in the database. The approach it uses is a systematic one which decomposes the table to eliminate repetition of data known as redundancy. It also removes characters which are undesirable in the database like updates, anomalies, and insertions, this process puts data in a tabular form and transfers data which are duplicated in the related tables in the database. The critical use of normalization is mainly to eliminate useless data and ensuring that the data stored is dependent meaning it makes sense which is logical. Usually, normalization is divided into five standard forms namely; First Normal Form, Second Normal Form, Third Normal Form, BCNF and lastly the Fourth Normal Form. In this paper, we will be looking at the Third Normal Form which is said to be a table when it's in Second Normal Form and it does not contain any transitive dependency. This 3NF does not include any overlapping candidate keys.

Advantages of Normalization in Relational Database

Normalizing database is essential as we have covered a little of the introductory part about it and it has advantages as to why it should be used. The advantages include;

1. Grouping Data Logically – Developers who create database find it way easier to find and locate data which is normalized and the process is usually quick as there are no dirty data. With this, they are also making it easier for other app developers to design, implement, write and delete data in an effortless systematic way rather than having a hard time to deal with unwanted data. In this company it being a 24-hour running business grouping the data logically is essential as it would enable the management to have precise information of all the doings in the company from hour to hour. The information taken is correct as there would not be a scenario where a worker has worked over hours due to signing in and signing out of workers directly from the database.
2. Reduces Data Duplication – A normalized relational database reduces data duplication as it looks for the same unique data which is duplicated and deletes the rest. This way it creates more space for the database for additional files which is so advantageous. In our scenario, each worker will be in the database using unique fe