https://github.com/jaiswalchitransh/sql-projects

During my summer internship at Celebal Technologies, I worked on a SQL project to improve data management and search processes for a particular client. The main goal of the project was to optimize database queries, improve information organization and ensure effective information retrieval.
https://github.com/jaiswalchitransh/sql-projects

adventure-works adventureworks celebal database dbms internship mssql mssql-database mssql-server projects sql

Last synced: 2 days ago
JSON representation

During my summer internship at Celebal Technologies, I worked on a SQL project to improve data management and search processes for a particular client. The main goal of the project was to optimize database queries, improve information organization and ensure effective information retrieval.

• Host: GitHub
• URL: https://github.com/jaiswalchitransh/sql-projects
• Owner: jaiswalchitransh
• Created: 2024-06-05T16:59:05.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-08-28T20:38:31.000Z (29 days ago)
• Last Synced: 2024-09-24T18:51:05.216Z (2 days ago)
• Topics: adventure-works, adventureworks, celebal, database, dbms, internship, mssql, mssql-database, mssql-server, projects, sql
• Language: TSQL
• Homepage:
• Size: 4.32 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# SQL Projects

## Table of Contents

- [Project Overview](#project-overview)

- [Installation](#installation)

- [Usage](#usage)

- [Features](#features)

- [Contribution](#contribution)

## Project Overview

The "SQL Projects" repository includes various SQL tasks and projects completed during the Celebal Technologies Summer Internship. This repository demonstrates the practical application of SQL to address real-world scenarios, including data manipulation, querying, and stored procedure implementation using the Adventure Works Database 2022.

## Installation

To explore or run the SQL queries and stored procedures:

1. Clone or download the repository to your local machine.

   

            https://github.com/jaiswalchitransh/SQL-Projects.git

   

2. Open the SQL scripts in your preferred SQL client, such as Microsoft SQL Server Management Studio (SSMS) or Azure Data Studio.

3. Connect to the Adventure Works Database 2022 if required or set up the database as per the provided instructions.

4. Execute the SQL scripts and stored procedures as described in each task.

## Usage

The repository contains various SQL tasks and implementations:

- **Project 1**: Calculated the total work hours of employees based on their check-in and check-out times.

- **Level A Task**: Executed different queries on the Adventure Works Database 2022.

- **Level B Task**: Executed queries using Stored Procedures, Functions, Views, and Triggers on the Adventure Works Database 2022.

- **Level C Task**: Executed queries according to specific tasks assigned.

- **Student Allotment SQL Problem**: Implemented a stored procedure to assign students to subjects based on a predefined workflow.

- **Subject Change Request Problem**: Implemented a stored procedure to insert requested subjects as valid records in the SubjectAllotments Table according to the specified workflow.

## Features

- **Comprehensive SQL Queries**: Various queries to interact with and manipulate data in the Adventure Works Database 2022.

- **Stored Procedures**: Implementation of stored procedures to handle complex operations and workflows.

- **Database Tasks**: Includes calculations, data retrieval, and management tasks relevant to real-world scenarios.

- **Database Schema**: Utilizes the Adventure Works Database 2022 schema for demonstrating SQL capabilities.

## Contribution

I, **[Chitransh Jaiswal](https://www.linkedin.com/in/jaiswalchitransh/)** developed this Project Individually. I was responsible for all aspects of the project, including design, development, testing, and documentation.

Contributions to improve the efficiency, readability, or functionality of the code are welcome. To contribute:

1. Fork the repository.

2. Create a new branch (`git checkout -b feature/your-feature`).

3. Make your changes.

4. Commit your changes (`git commit -am 'Add some feature'`).

5. Push to the branch (`git push origin feature/your-feature`).

6. Create a new Pull Request.

Please ensure your contributions adhere to the coding standards and follow the existing style and structure.

---

Thank you for your interest in the SQL Projects!