https://github.com/apaichon/db-design

Database Design Course
https://github.com/apaichon/db-design

Last synced: 3 months ago
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Database Design Course

• Host: GitHub
• URL: https://github.com/apaichon/db-design
• Owner: apaichon
• License: mit
• Created: 2024-12-18T16:30:39.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-12-18T16:34:58.000Z (6 months ago)
• Last Synced: 2024-12-18T17:36:35.658Z (6 months ago)
• Language: JavaScript
• Size: 60.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Database Design Course

A comprehensive course covering database design principles, from fundamental concepts to advanced implementation patterns.

## Course Overview

This course provides in-depth knowledge of database systems, covering both traditional RDBMS and modern NoSQL approaches. Students will learn theoretical foundations and gain practical experience through hands-on workshops and real-world use cases.

## Table of Contents

### I. Introduction to Database Systems

- Course Overview and Learning Objectives

- Brief History of Database Systems

- Database Types Comparison

- Storage Types and Considerations

### II. Relational Databases

- Introduction to Relational Databases

- Database Architecture

- SQL and Relational Model

- Database Schema Design

- Data Types and Constraints

- Normalization and Data Integrity

- SQL Advanced Features

- Best Practices

### III. NoSQL Databases

- Introduction to NoSQL Databases

- MongoDB

- Data Modeling Patterns

- Best Practices

### IV. ACID vs BASE

- ACID Properties

- BASE Properties

- When to Use ACID vs BASE

- Key Differences

### V. Database Modeling

- Business Objectives

- Business Context

- Data Model

- Data Types

- Data Relationships

- Data Modeling Techniques

- Data Governance

- Policy

- Security

- Best Practices

- Common Pitfalls

- Incremental Design for Multiple Versions

### VI. Database Optimization

- Query Performance Statistics

- Database Caching

- SQL Query Optimization

- Schema Optimization

- Database Replication

- Backup and Recovery

- Best Practices

- Common Pitfalls

## Workshops

1. Data Modeling Workshop

   - Multi-Tenant Chat App Design

   - Schema Design Patterns

   - Implementation Examples

2. Optimization Workshop

   - Query Optimization

   - Indexing Strategies

   - Caching Implementation

3. Capacity Planning Workshop

   - Metrics Collection

   - Growth Projections

   - Resource Planning

4. Backup and Recovery Workshop

   - Backup Strategies

   - Recovery Procedures

   - Disaster Recovery Planning

## Use Cases

### System Architecture Design

1. Payment Gateway

2. Concert Ticketing

3. Government Bond Reservation

4. Online Lottery

5. Mixed Election System

## Prerequisites

- Basic understanding of programming concepts

- Familiarity with SQL syntax

- Basic command line knowledge

## Learning Outcomes

Upon completion, students will be able to:

- Design efficient and scalable database schemas

- Implement proper data modeling techniques

- Optimize database performance

- Choose appropriate database types for different scenarios

- Implement security best practices

- Plan for capacity and growth