An open API service indexing awesome lists of open source software.

https://github.com/yossef-ashraf/db-mastery

Comprehensive resources for learning databases and improving performance.
https://github.com/yossef-ashraf/db-mastery

cypher-query db document-database sql

Last synced: 4 months ago
JSON representation

Comprehensive resources for learning databases and improving performance.

Awesome Lists containing this project

README

          

# DB-Mastery

Welcome to **DB-Mastery**! This repository is designed to be a comprehensive resource for mastering database concepts and practices. It includes detailed information on various database topics and insights from authoritative database literature.

## Table of Contents

- [Introduction](#introduction)
- [Getting Started](#getting-started)
- [Topics Covered](#topics-covered)
- [Resources](#resources)
- [Contributing](#contributing)

## Introduction

**DB-Mastery** aims to provide a deep dive into the world of databases, offering valuable information and techniques for both beginners and experienced professionals. This repository will guide you through essential database concepts, optimization strategies, and real-world applications.

## Getting Started

To begin exploring the repository, clone it to your local machine:

```bash
git clone https://github.com/yossef-ashraf/DB-Mastery.git
cd DB-Mastery
```

Browse the files to find topics and insights that suit your interests.

## Topics Covered

This repository encompasses a variety of database-related topics, including:

- Database Design Principles
- SQL and NoSQL Databases
- Query Optimization Techniques
- Data Indexing Strategies
- Transactions and Concurrency Control
- Data Warehousing Concepts
- Cloud Database Solutions

The content is continuously updated to include the latest best practices and advancements.

## Resources

The information in **DB-Mastery** is supported by insights from key database books and resources, such as:

- [Database Systems: The Complete Book by Garcia-Molina, Ullman, and Widom](#)
- [SQL Performance Explained by Markus Winand](#)
- [Designing Data-Intensive Applications by Martin Kleppmann](#)

## Contributing

Contributions are highly encouraged! If you have suggestions, improvements, or additional content to add, please submit a pull request or open an issue.