Database Concepts for a java Dev: Database Normalization

In this part, I will be briefing about different types of Database Normalizations using a sample data model.

What is Database Normalization?

Normalization is the process of efficiently organizing data in the database.

Primary Goal of Normalization?

Eliminating redundant data & ensuring meaningful data dependencies.

Types of Normalization

The following are the three most common normal forms in the database normalization process

  1. First Normal Form (1NF)
  2. Second Normal Form (2NF)
  3. Third Normal Form (3NF)

Sample Data Model for Demonstration

The following data model will be used to demonstrate all the three normal forms

First Normal Form (1NF)

First Normal Form (1NF) sets the very basic rules for an organized database:

The following data model depicts the tables after 1NF rules are applied -

Second Normal Form (2NF)

Second Normal Form (2NF) further addresses the concept of removing duplicate data:

So basically the objective of the Second Normal Form is to take that is only partly dependent on the primary key and enter that data into another table.

The following data model depicts the tables after 2NF rules are applied.

Data from EMPLOYEE_TABLE is split into 2 tables – EMPLOYEE_TABLE and EMPLOYEE_HR_TABLE.

Similarly data from CUSTOMER_TABLE is moved to CUSTOMER_TABLE and CUSTOMER_ORDER table

Third Normal Form (3NF)

Third normal form (3NF) goes one large step further:

The following data model depicts the tables after 3NF rules are applied.

Further state and country details are moved to their own tables because they are not dependent on the primary key.

Advantages of Normalizing the Database

There are several advantages of normalization -

  1. Data can be stored as small atomic pieces
  2. Saves space
  3. Increases speed
  4. Reduces data anomalies
  5. Easy maintenance

Other parts of this series include:

Part 1 – ACID Properties

Part 2 – Keys

Part 4 – Database Transactions [coming soon]

Part 5 – Indexes [coming soon]

 

 

 

 

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