https://github.com/saadsalmanakram/database-decoded
Just buzzing around playing with different databases. Come have a look and learn
https://github.com/saadsalmanakram/database-decoded
non-relational-database nosql nosql-database relational-databases sqldatabase
Last synced: 4 months ago
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Just buzzing around playing with different databases. Come have a look and learn
- Host: GitHub
- URL: https://github.com/saadsalmanakram/database-decoded
- Owner: saadsalmanakram
- Created: 2024-12-18T18:15:09.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-04-05T10:14:48.000Z (6 months ago)
- Last Synced: 2025-04-05T11:23:41.444Z (6 months ago)
- Topics: non-relational-database, nosql, nosql-database, relational-databases, sqldatabase
- Homepage:
- Size: 372 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### `README.md`
```markdown
# Database Decoded
Welcome to **Database Decoded**, your ultimate guide to understanding all kinds of databases! Whether you're a beginner taking your first steps into the world of databases or a seasoned developer looking to refine your knowledge, this repository is your one-stop resource.
---
## 🚀 Purpose of this Repository
This repository aims to provide:
- **Comprehensive Knowledge**: Covering all major types of databases, including relational and non-relational databases.
- **Deep Dive into Categories**: Exploring the subtypes, features, and use cases of each database type.
- **Practical Examples**: Hands-on examples and exercises to solidify your understanding.
- **Comparison & Best Practices**: Comparing database types and offering guidance on choosing the right database for your projects.
---
## 📖 Table of Contents
1. [Introduction to Databases](#introduction-to-databases)
2. [Relational Databases (RDBMS)](#relational-databases-rdbms)
- Key Features
- Examples (MySQL, PostgreSQL, Oracle)
3. [Non-Relational Databases (NoSQL)](#non-relational-databases-nosql)
- Types
- Document Databases
- Key-Value Stores
- Wide-Column Stores
- Graph Databases
- Examples (MongoDB, Redis, Cassandra, Neo4j)
4. [Database Design Principles](#database-design-principles)
5. [Choosing the Right Database](#choosing-the-right-database)
6. [Hands-On Tutorials](#hands-on-tutorials)
7. [Resources and References](#resources-and-references)
---
## 📋 Introduction to Databases
A **database** is an organized collection of data that can be easily accessed, managed, and updated. Databases play a critical role in modern software development, enabling applications to store and retrieve information efficiently.
### Why Learn About Databases?
- Understand how data is stored and managed in real-world applications.
- Choose the best database for your specific use case.
- Learn to optimize data storage and retrieval for performance.
---
## 🛠Relational Databases (RDBMS)
Relational databases store data in tables with rows and columns, using a structured schema.
### Key Features:
- Structured schema-based design.
- Use of SQL (Structured Query Language) for queries.
- Strong consistency and ACID properties.
### Examples:
- **MySQL**: Open-source, widely used in web applications.
- **PostgreSQL**: Advanced features like support for JSON and geospatial data.
- **Oracle**: Popular for enterprise applications.
---
## 🛠Non-Relational Databases (NoSQL)
Non-relational databases store data in a flexible, schema-less format. They are ideal for handling unstructured or semi-structured data.
### Types:
1. **Document Databases**: Store data as JSON-like documents (e.g., MongoDB).
2. **Key-Value Stores**: Simple key-value pairs for ultra-fast performance (e.g., Redis).
3. **Wide-Column Stores**: Table-like structure but with high scalability (e.g., Cassandra).
4. **Graph Databases**: Store relationships between data nodes (e.g., Neo4j).
### Use Cases:
- High scalability and performance requirements.
- Real-time analytics and big data processing.
---
## 🧩 Database Design Principles
- **Normalization**: Avoid data redundancy in relational databases.
- **Indexing**: Optimize data retrieval.
- **Sharding and Replication**: Ensure availability and scalability in distributed systems.
---
## 💡 Choosing the Right Database
### Key Factors:
- **Type of Data**: Structured or unstructured.
- **Performance Needs**: Latency, scalability, and read/write patterns.
- **Application Requirements**: Consistency, availability, and partition tolerance (CAP theorem).
---
## 🛠Hands-On Tutorials
This repository includes practical exercises and mini-projects:
- **Designing a relational database schema**.
- **Querying data with SQL**.
- **Building a document-based application with MongoDB**.
- **Implementing a key-value store with Redis**.
---
## 📚 Resources and References
- [Official Documentation for MySQL](https://dev.mysql.com/doc/)
- [PostgreSQL Guide](https://www.postgresql.org/docs/)
- [MongoDB Documentation](https://www.mongodb.com/docs/)
- [Redis Getting Started](https://redis.io/docs/getting-started/)
---
## 🛡 Contributing
We welcome contributions! If you’d like to add tutorials, improve the documentation, or suggest new features, please open an issue or submit a pull request.
---
## 📧 Contact
Feel free to reach out for suggestions or questions:
- **Maintainer**: Saad Salman
- **GitHub**: [@saadsalmanakram](https://github.com/saadsalmanakram)
---
Start exploring the world of databases today with **Database Decoded**!
```