https://github.com/priyadarshinijain/data-analysis-using-sql

In the context of this SQL project for Bella's Pizzeria, several tools and techniques have been utilized to handle data management, querying, and analysis.
https://github.com/priyadarshinijain/data-analysis-using-sql

sql-server

Last synced: about 1 month ago
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In the context of this SQL project for Bella's Pizzeria, several tools and techniques have been utilized to handle data management, querying, and analysis.

• Host: GitHub
• URL: https://github.com/priyadarshinijain/data-analysis-using-sql
• Owner: priyadarshinijain
• Created: 2024-09-09T12:49:45.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-09T20:55:42.000Z (2 months ago)
• Last Synced: 2024-10-12T07:01:12.035Z (about 1 month ago)
• Topics: sql-server
• Homepage:
• Size: 1.44 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Analysis Using SQL - Bella's Pizzeria 🍕

This project focuses on **data management**, **querying**, and **analysis** using SQL for Bella's Pizzeria. The objective is to address several operational and customer satisfaction challenges by leveraging the power of **SQL** and **database management** tools. Below is an outline of the tools and techniques involved in this project.

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## 🛠️ Tools & Techniques

### 1. **Database Management System (DBMS)**

- **MySQL**:  

  Bella's Pizzeria uses **MySQL**, a widely-used open-source relational database management system (**RDBMS**) to handle structured data, such as:

  - Customer orders

  - Pizza types

  - Inventory

### 2. **SQL Querying Techniques**

- **Basic CRUD Operations**:  

  CRUD stands for **Create, Read, Update, Delete**—the fundamental operations used to manage data, such as:

  - Handling pizza orders

  - Updating the menu

  - Managing customer feedback or reviews

### 3. **Data Aggregation**

- SQL queries such as:

  - `GROUP BY`

  - `COUNT()`

  - `SUM()`

  - `AVG()`

  

  These are utilized to analyze sales data, identify best-selling pizzas, and aggregate customer feedback for better decision-making.

### 4. **Joins and Subqueries**

- **Joins**: SQL JOINs (e.g., **INNER JOIN**, **LEFT JOIN**) are employed to link different tables, such as:

  - Orders

  - Customers

  - Inventory

  

- **Subqueries**: Used to perform complex filtering and data retrieval in comprehensive reports.

### 5. **Data Analysis & Reporting**

- SQL is used for **aggregating sales data** and **identifying trends**, such as the **top 5 best-selling pizzas**. Reports generated through SQL queries provide insights into:

  - Business operations

  - Customer preferences

### 6. **ETL (Extract, Transform, Load) Process**

- **ETL Tools**: An **ETL process** is set up to integrate various data sources, including:

  - Customer orders

  - Pizza inventory

  - Feedback data

  

  This ensures all relevant information is stored in a **centralized database** for easy access and analysis.

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💡 **Project Highlights**:  

This project demonstrates the use of SQL for real-world data analysis and reporting, addressing both business and operational challenges at Bella's Pizzeria.