https://github.com/tom474/learn_sql_rmit

[RMIT 2023A] ISYS3414 - Practical Database Concepts - Learning Resources
https://github.com/tom474/learn_sql_rmit

database mysql

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[RMIT 2023A] ISYS3414 - Practical Database Concepts - Learning Resources

• Host: GitHub
• URL: https://github.com/tom474/learn_sql_rmit
• Owner: tom474
• Created: 2024-07-03T06:11:25.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-29T08:50:01.000Z (over 1 year ago)
• Last Synced: 2025-01-29T09:38:26.560Z (over 1 year ago)
• Topics: database, mysql
• Homepage:
• Size: 13.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Learn SQL from RMIT

This repository is designed for learning **SQL** using **MySQL**. It contains structured SQL scripts to help beginners and intermediate learners understand database creation, data manipulation, queries, and best practices.

## Tech Stack

- MySQL

## Content

This repository provides hands-on practice with SQL concepts through real-world database examples. Below are the key topics you will learn:

### 1. **Database Creation & Table Management**

- How to create databases and tables (`CREATE TABLE`).

- Setting **primary keys** and **foreign keys**.

- Using constraints (`UNIQUE`, `NOT NULL`, `CHECK`, etc.).

- Modifying tables using `ALTER TABLE`.

### 2. **Data Insertion, Modification & Deletion**

- Inserting records (`INSERT INTO`).

- Updating existing data (`UPDATE`).

- Deleting records (`DELETE`).

### 3. **Querying Data with SELECT**

- Retrieving all data (`SELECT * FROM table`).

- Filtering with `WHERE`, `BETWEEN`, `IN`, `LIKE`.

- Sorting results using `ORDER BY`.

- Limiting results with `LIMIT`.

### 4. **Aggregate Functions & Grouping**

- Using `SUM()`, `AVG()`, `COUNT()`, `MIN()`, `MAX()`.

- Grouping data with `GROUP BY`.

- Filtering groups using `HAVING`.

### 5. **Joins & Relationships**

- **INNER JOIN** to combine related tables.

- **LEFT JOIN** & **RIGHT JOIN** for partial data retrieval.

- **SELF JOIN** for hierarchical data relationships.

### 6. **Subqueries & Nested Queries**

- Writing subqueries in `SELECT`, `FROM`, `WHERE` clauses.

- Using correlated subqueries for advanced filtering.

### 7. **Views & Indexing**

- Creating **views** for simplified querying (`CREATE VIEW`).

- Implementing **indexes** to optimize query performance.

### 8. **Stored Procedures & Transactions**

- Automating SQL tasks using **stored procedures**.

- Ensuring data consistency with **transactions**.

### 9. **Handling Integrity Constraints**

- Understanding `FOREIGN KEY` dependencies.

- Preventing duplicate data with `UNIQUE`.

- Managing **ON DELETE CASCADE** & **ON UPDATE CASCADE**.

### 10. **Practical Case Studies**

- **Cinema Database**: Learn how to store and analyze movie reviews.

- **Companies Database**: Understand salaries, departments, and promotions.

- **Schools Database**: Track students, courses, and enrollments.

- **Supermarket Database**: Manage customers, orders, and inventory.