Database Normalization

1What is Database Normalization?✨

Database normalization is the process of organizing a database to reduce redundancy and improve data integrity. It involves structuring your tables and relationships in a way that makes your database efficient and easy to manage.

2Why Learn Normalization?🎯

• ✓ Minimizes data redundancy
• ✓ Enhances data integrity
• ✓ Simplifies data maintenance
• ✓ Improves query performance

3Normalization Forms💡

• There are several normal forms, with the most commonly used being:
• First Normal Form (1NF): Ensures all columns contain atomic values.
• Second Normal Form (2NF): Achieves 1NF and removes partial dependencies.
• Third Normal Form (3NF): Achieves 2NF and removes transitive dependencies.

4Example of 1NF🚀

To transform a non-normalized table into 1NF, ensure that each column has atomic values. For instance:

SELECT * FROM Students WHERE StudentID = 1;

5To convert it:🔍

CREATE TABLE Students (
    StudentID INT PRIMARY KEY,
    Name VARCHAR(100),
    Course VARCHAR(100)
);

6Decomposing Tables⭐

Decomposing involves breaking down tables into smaller, related tables. This helps achieve higher normal forms. For example, if we have a table that combines student information and course details, we can split it:

CREATE TABLE Courses (
    CourseID INT PRIMARY KEY,
    CourseName VARCHAR(100)
);

CREATE TABLE Enrollments (
    StudentID INT,
    CourseID INT,
    FOREIGN KEY (StudentID) REFERENCES Students(StudentID),
    FOREIGN KEY (CourseID) REFERENCES Courses(CourseID)
);

7Applying Normalization🧩

When designing your database schema, always check for redundancy and dependencies. Use normalization to create a clean and efficient design that is easy to query and maintain.

8What You'll Build This Grade🎈

• ✓ A normalized database schema for a real-world application
• ✓ Efficient queries that utilize the relationships between tables
• ✓ A deeper understanding of data integrity and management
• ✓ Insights into best practices for database design