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🏆 Art of SQL: Mastering SQL from Beginner to Advanced

Welcome to Art-of-SQL, your ultimate guide to mastering Structured Query Language (SQL)! Whether you're a beginner or an advanced user, this repository will take you through database design, querying, optimization, and advanced SQL concepts with practical examples.

🚀 What You'll Learn

• 📚 SQL Fundamentals: Queries, Joins, Aggregations, Subqueries.
• 🛠️ Database Design: Normalization, Indexing, Constraints.
• ⚡ Performance Optimization: Query tuning, Indexing, Caching.
• 📊 Analytical SQL: Window Functions, CTEs, Pivoting Data.
• 🔄 Transactions & Concurrency: ACID properties, Locking, Isolation Levels.
• 📡 Advanced SQL: Recursive Queries, Stored Procedures, Triggers.

📌 Topics Covered

1️⃣ SQL Basics

• Introduction to SQL & Relational Databases
• SELECT, INSERT, UPDATE, DELETE Statements
• Data Types & Constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK)

2️⃣ Intermediate SQL

• Joins (INNER, LEFT, RIGHT, FULL, CROSS)
• Aggregation & Grouping (GROUP BY, HAVING, COUNT, SUM, AVG)
• Subqueries & Common Table Expressions (CTEs)

3️⃣ Advanced SQL

• Window Functions (ROW_NUMBER(), RANK(), DENSE_RANK(), LEAD(), LAG())
• Recursive Queries (WITH RECURSIVE for hierarchical data)
• Pivot & Unpivot Data (Dynamic Pivoting Techniques)

4️⃣ Performance Optimization

• Indexes (B-Trees, Hash Indexes, Covering Indexes)
• Query Execution Plans & Optimization
• Partitioning & Sharding Large Datasets

5️⃣ Transactions & Concurrency

• ACID Properties (Atomicity, Consistency, Isolation, Durability)
• Isolation Levels (READ COMMITTED, SERIALIZABLE, REPEATABLE READ)
• Deadlocks & Locking Mechanisms

6️⃣ Advanced SQL & Real-World Applications

• Stored Procedures & Functions
• Triggers & Event-Driven SQL
• NoSQL vs. SQL (When to use SQL vs. NoSQL)
• Data Warehousing Concepts & SQL for Big Data

🛠️ Supported SQL Databases

• PostgreSQL
• MySQL
• SQLite
• Microsoft SQL Server
• Oracle SQL

🔥 Hands-on Projects & Challenges

• Building a Movie Database
• E-commerce Order Management System
• Analyzing Customer Transactions
• Real-time Data Aggregation with Window Functions

📌 Getting Started

1. Clone the repository

   git clone https://github.com/saadsalmanakram/Art-of-SQL.git
   cd Art-of-SQL

2. Set up a local database

   • Install PostgreSQL, MySQL, or SQLite.
   • Load example datasets provided in the datasets/ folder.

3. Run Example Queries

   SELECT * FROM customers;

4. Practice SQL Challenges

   • Open exercises.sql and start solving problems.

📚 Resources & References

• PostgreSQL Documentation
• MySQL Official Guide
• SQL Optimization Guide

🤝 Contributing

We welcome contributions! If you have improvements or new SQL tricks to add, feel free to submit a pull request.

⭐ Support the Project

If you find this repository helpful, give it a ⭐ and share it with your network!

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