Advanced Database Design Tutorial

Welcome to the advanced database design tutorial! This guide will help you understand the intricacies of database design, focusing on the creation of efficient and scalable databases. Let's dive in!

Key Concepts

Normalization: This process helps in eliminating redundancy and dependency issues in a database.
Denormalization: It is the process of adding redundancy to the database design, which can improve read performance.
Data Integrity: Ensuring that the data in the database is accurate and consistent.

Steps for Database Design

Requirement Analysis: Understand the data requirements and the relationships between different entities.
ER Diagram: Create an Entity-Relationship diagram to visualize the entities and their relationships.
Normalization: Apply normalization rules to the ER diagram to create a well-structured database.
Schema Creation: Based on the normalized ER diagram, create the database schema.
Indexing: Implement indexing to improve query performance.

Example

Let's take an example of a simple e-commerce database. We will have tables for Users, Products, and Orders.

Users: Contains information about users like username, email, and password.
Products: Contains information about products like name, price, and category.
Orders: Contains information about orders like order ID, user ID, product ID, and quantity.

Users Table

Column	Data Type
user_id	INT
username	VARCHAR(50)
email	VARCHAR(100)
password	VARCHAR(100)

Products Table

Column	Data Type
product_id	INT
name	VARCHAR(100)
price	DECIMAL(10, 2)
category	VARCHAR(50)

Orders Table

Column	Data Type
order_id	INT
user_id	INT
product_id	INT
quantity	INT