https://github.com/sufiyanahmed4566/sql-musicmaven

"This Music Store Database Project showcases SQL skills through comprehensive database design, query optimization, and data analysis. Includes ER diagram, database file, query questions (Easy, Medium, Hard), answered queries, and CSV table data. Ideal for recruiters seeking skilled SQL developers for music store management and data analysis.
https://github.com/sufiyanahmed4566/sql-musicmaven

data-analysis database insights mysql-database oracle-database relational-databases sql

Last synced: about 2 months ago
JSON representation

"This Music Store Database Project showcases SQL skills through comprehensive database design, query optimization, and data analysis. Includes ER diagram, database file, query questions (Easy, Medium, Hard), answered queries, and CSV table data. Ideal for recruiters seeking skilled SQL developers for music store management and data analysis.

• Host: GitHub
• URL: https://github.com/sufiyanahmed4566/sql-musicmaven
• Owner: SufiyanAhmed4566
• Created: 2024-11-19T16:22:11.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-19T17:31:58.000Z (about 2 months ago)
• Last Synced: 2024-11-19T17:36:58.928Z (about 2 months ago)
• Topics: data-analysis, database, insights, mysql-database, oracle-database, relational-databases, sql
• Homepage:
• Size: 640 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# SQL Project: Music Store Analysis

## Project Overview

This SQL project analyzes a music store database, demonstrating expertise in database design, query optimization, and data analysis. The project utilizes PostgreSQL and PgAdmin4.

## Database Schema

The music store database schema is illustrated below:

![MusicDatabaseSchema](https://user-images.githubusercontent.com/112153548/213707717-bfc9f479-52d9-407b-99e1-e94db7ae10a3.png)

## Database Tools

- PostgreSQL

- PgAdmin4

## Project Contents

- `music_store_database.sql`: Database file containing schema and data

- `query_questions.pdf`: Set of query questions (Easy, Medium, Hard)

- `answered_queries.sql`: Solutions to query questions

- `table_data.zip`: CSV files containing table data

## Query Questions

The project includes a set of query questions, categorized by difficulty level:

- Easy: Basic SELECT statements, filtering, and sorting

- Medium: JOINs, subqueries, aggregations, and grouping

- Hard: Complex JOINs, window functions, and advanced aggregations

## Getting Started

1. Import the `music_store_database.sql` file into your PostgreSQL database.

2. Review the database schema and ER diagram.

3. Attempt to answer the query questions.

4. Compare your solutions with the provided answers.

## Use Cases

- Music store management

- Data analysis and reporting

- Business intelligence and decision-making

## Tags

- SQL

- PostgreSQL

- Database

- Music Store

- Data Analysis

- Query Optimization