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Merge pull request #7 from TeachingOW/feature/enhance-lab-documentation-and-examples
🚀 Enhance Lab Documentation and Examples with Comprehensive Learning Context
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‎Readme.md‎

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# SQL Database Management Labs
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## In-Class SQL Labs
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| Topic | Resource |
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|----------|------------------|
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| Create Database & One table Queries | [Lab 1](inclass/InClassExercises) & [Lab 2](inclass/Lecture_Example_1) |
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| Foreign Keys | [Foreign Keys](inclass/Foreign_Keys) |
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| Join | [Multi Table Queries](inclass/Multi_Tables) |
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| Set | [Lab 2](inclass/Lab2) |
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| Nested Queries | [Lab 2](inclass/Lab2) |
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| Aggregates | [Lab 2](inclass/Lab2) |
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| SQL Examples (+ OuterJoin) | [Lab 2](inclass/Lab2) |
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| Division | [Lab 2](inclass/Lab2) |
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| Views | [Lab 3](labs/Lab5_views.md) |
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| Interface with Python | [Lab 4](inclass/Lab_Python) |
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| Interface with Jupyter | [Lab 4.1](https://nbviewer.org/urls/teachingow.github.io/DBMS-SQL-Labs/inclass/Mysql-Jupyter.ipynb) |
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| Window Function | [Lab 5](inclass/Lab4) |
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| Normal Forms | [Normal Forms](labs/Lab3_Normal_forms.md) |
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| Roll up | [Rollup](https://nbviewer.org/urls/teachingow.github.io/DBMS-SQL-Labs/inclass/Rollup.ipynb) |
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| Triggers | [Triggers](https://nbviewer.org/urls/teachingow.github.io/DBMS-SQL-Labs/inclass/Triggers.ipynb) |
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| Transactions | [Transactions](inclass/Transactions) |
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| Isolation Levels | [MySQL Testing Isolation Levels](https://medium.com/@huynhquangthao/mysql-testing-isolation-levels-650a0d0fae75) |
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| JSON | [JSON/XML Lab](labs/Lab_JSON-XML.md) |
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| MongoDB | [MongoDB Lab](labs/Lab10_mongoDB.md) |
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| Neo4j | [Neo4j Lab](other/Lab11_neo4j) |
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## Data Sets
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The data sets used in these labs are available in the [data directory](https://github.com/TeachingOW/DBMS-SQL-Labs/tree/main/data).
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## Project Website
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Visit the project website at [https://teachingow.github.io/DBMS-SQL-Labs/](https://teachingow.github.io/DBMS-SQL-Labs/)
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## Additional Tutorials
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* [SQLZoo](https://sqlzoo.net/wiki/SQL_Tutorial) - Interactive SQL tutorial with exercises
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# Database Management System (DBMS) SQL Labs
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A comprehensive collection of hands-on SQL laboratories designed to teach database concepts from basic queries to advanced database management techniques. These labs provide practical experience with SQL, database design, and modern database technologies.
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## 🎯 Learning Objectives
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By completing these labs, students will:
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- Master fundamental SQL operations (SELECT, INSERT, UPDATE, DELETE)
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- Understand database design principles and normalization
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- Learn advanced SQL concepts (joins, subqueries, window functions)
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- Gain experience with database programming and interfaces
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- Explore modern database technologies (NoSQL, Graph databases)
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- Understand transaction management and concurrency control
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## 📚 Lab Structure
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### Foundational Labs (SQL Basics)
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| Lab | Topic | Description | Resource |
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|-----|-------|-------------|----------|
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| 1 | Database Creation & Basic Queries | Learn to create databases, tables, and perform simple SELECT operations | [Lab 1](inclass/InClassExercises.md) |
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| 2 | Advanced Queries & Joins | Master multi-table queries, joins, and complex WHERE clauses | [Lab 2](inclass/Lab2.md) |
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| 3 | Foreign Keys & Relationships | Understand referential integrity and table relationships | [Foreign Keys](inclass/Foreign_Keys.md) |
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| 4 | Multi-Table Operations | Practice complex joins and relationship queries | [Multi Tables](inclass/Multi_Tables.md) |
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### Intermediate Labs (Advanced SQL)
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| Lab | Topic | Description | Resource |
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|-----|-------|-------------|----------|
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| 5 | Set Operations & Nested Queries | Learn UNION, INTERSECT, and subquery techniques | [Lab 2 Advanced](inclass/Lab2.md) |
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| 6 | Aggregate Functions & Grouping | Master COUNT, SUM, AVG, GROUP BY, and HAVING clauses | [Lab 2 Aggregates](inclass/Lab2.md) |
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| 7 | Window Functions | Learn advanced analytical functions and partitioning | [Window Functions](inclass/Lab4.md) |
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| 8 | Views & Virtual Tables | Create and manage database views for data abstraction | [Views Lab](labs/Lab5_views.md) |
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### Database Design Labs
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| Lab | Topic | Description | Resource |
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|-----|-------|-------------|----------|
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| 9 | Database Normalization | Learn 1NF, 2NF, 3NF and database design principles | [Normal Forms](labs/Lab3_Normal_forms.md) |
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| 10 | Advanced SQL Techniques | Practice complex queries and optimization | [Advanced SQL](labs/Lab4_sql.md) |
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### Programming Integration Labs
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| Lab | Topic | Description | Resource |
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|-----|-------|-------------|----------|
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| 11 | Python Database Interface | Connect Python applications to databases using connectors | [Python Lab](inclass/Lab_Python.md) |
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| 12 | Jupyter Notebook Integration | Interactive database analysis with Jupyter notebooks | [Jupyter Lab](https://nbviewer.org/urls/teachingow.github.io/DBMS-SQL-Labs/inclass/Mysql-Jupyter.ipynb) |
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### Advanced Database Concepts
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| Lab | Topic | Description | Resource |
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|-----|-------|-------------|----------|
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| 13 | Analytical Functions | Master ROLLUP, CUBE, and advanced grouping operations | [Rollup Lab](https://nbviewer.org/urls/teachingow.github.io/DBMS-SQL-Labs/inclass/Rollup.ipynb) |
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| 14 | Triggers & Stored Procedures | Implement database automation and business logic | [Triggers Lab](https://nbviewer.org/urls/teachingow.github.io/DBMS-SQL-Labs/inclass/Triggers.ipynb) |
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| 15 | Transaction Management | Understand ACID properties and concurrency control | [Transactions](inclass/Transactions.md) |
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| 16 | Isolation Levels | Learn about database isolation and consistency | [Isolation Levels](inclass/Isolation_Levels.md) |
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### Modern Database Technologies
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| Lab | Topic | Description | Resource |
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|-----|-------|-------------|----------|
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| 17 | JSON & XML Processing | Handle semi-structured data in relational databases | [JSON/XML Lab](labs/Lab_JSON-XML.md) |
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| 18 | MongoDB (NoSQL) | Introduction to document-based databases | [MongoDB Lab](labs/Lab10_mongoDB.md) |
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| 19 | Neo4j (Graph Database) | Explore graph database concepts and Cypher queries | [Neo4j Lab](other/Lab11_neo4j.md) |
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## 🗃️ Data Sets
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The repository includes several real-world datasets for hands-on practice:
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| Dataset | Description | Use Cases |
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|---------|-------------|-----------|
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| [IMDB Movie Data](data/IMDB-Movie-Data.csv) | Movie information including ratings, genres, and revenue | Complex queries, aggregations, data analysis |
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| [Air Travel Data](data/airtravel.csv) | Flight and passenger information | Time-series analysis, grouping operations |
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| [Cities Data](data/cities.csv) | Geographic and demographic information | Joins, geographic queries |
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| [Employee Data](data/employees.csv) | HR database with employee information | Relationship modeling, hierarchical queries |
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| [Student Grades](data/grades.csv) | Academic performance data | Statistical analysis, ranking functions |
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| [Drivers Database](data/drivers.sql) | Complete database schema with sample data | Full database operations, complex relationships |
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## 🚀 Getting Started
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### Prerequisites
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- MySQL or MariaDB server installed
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- Basic understanding of relational database concepts
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- Text editor or SQL client (MySQL Workbench, phpMyAdmin, etc.)
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### Quick Start Guide
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1. **Clone the repository**
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```bash
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git clone https://github.com/TeachingOW/DBMS-SQL-Labs.git
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cd DBMS-SQL-Labs
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```
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2. **Set up your database**
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```sql
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CREATE DATABASE dbms_labs;
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USE dbms_labs;
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```
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3. **Start with Lab 1**
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- Navigate to [InClass Exercises](inclass/InClassExercises.md)
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- Follow the step-by-step instructions
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- Practice with the provided examples
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### Lab Progression
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- **Beginners**: Start with Labs 1-4 (Foundational Labs)
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- **Intermediate**: Continue with Labs 5-8 (Advanced SQL)
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- **Advanced**: Explore Labs 9+ (Database Design & Modern Technologies)
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## 🛠️ Tools and Technologies
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### Database Systems
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- **MySQL/MariaDB**: Primary database system for most labs
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- **MongoDB**: NoSQL document database (Lab 18)
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- **Neo4j**: Graph database system (Lab 19)
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### Programming Languages
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- **SQL**: Standard query language for relational databases
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- **Python**: Database connectivity and data analysis
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- **Cypher**: Query language for Neo4j graph database
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### Development Environment
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- **Jupyter Notebooks**: Interactive data analysis and visualization
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- **Command Line Tools**: Direct database interaction
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- **Database Clients**: GUI tools for database management
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## 📖 Additional Learning Resources
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### Interactive Tutorials
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- [SQLZoo](https://sqlzoo.net/wiki/SQL_Tutorial) - Interactive SQL tutorial with exercises
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- [W3Schools SQL Tutorial](https://www.w3schools.com/sql/) - Comprehensive SQL reference
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- [MySQL Tutorial](https://dev.mysql.com/doc/mysql-tutorial-excerpt/8.0/en/) - Official MySQL documentation
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### Advanced Topics
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- [Database Design Principles](https://www.lucidchart.com/pages/database-diagram/database-design) - ER modeling and normalization
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- [SQL Performance Tuning](https://use-the-index-luke.com/) - Query optimization techniques
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- [NoSQL Databases](https://www.mongodb.com/nosql-explained) - Understanding document and graph databases
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### Practice Platforms
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- [HackerRank SQL](https://www.hackerrank.com/domains/sql) - SQL coding challenges
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- [LeetCode Database](https://leetcode.com/problemset/database/) - Database problem solving
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- [SQLBolt](https://sqlbolt.com/) - Interactive SQL lessons
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## 🤝 Contributing
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We welcome contributions to improve these labs! Please:
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1. Fork the repository
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2. Create a feature branch
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3. Make your improvements
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4. Submit a pull request
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### Areas for Contribution
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- Additional practice exercises
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- New dataset examples
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- Improved explanations and documentation
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- Bug fixes and corrections
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- Translation to other languages
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## 📄 License
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This project is licensed under the MIT License - see the LICENSE file for details.
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## 🌐 Project Website
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Visit the project website at [https://teachingow.github.io/DBMS-SQL-Labs/](https://teachingow.github.io/DBMS-SQL-Labs/) for additional resources and updates.

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