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 Microsoft's Adventure Works Database 2022.
To explore or run the SQL queries and stored procedures:
-
Clone or download the repository to your local machine.
https://github.com/jaiswalchitransh/SQL-Projects.git
-
Open the SQL scripts in your preferred SQL Environment, such as Microsoft SQL Server Management Studio (SSMS) or Azure Data Studio.
-
Connect to the Microsoft's Adventure Works Database 2022 with the SQL Environment. You can download the
AdventureWorks2022.bak
OLTP or Online Transaction Processing from microsoft.com. -
Execute the SQL scripts and stored procedures as described in each task.
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.
- Project-2: Implemented a stored procedure to assign students to subjects based on a predefined workflow.
- Project-3: Implemented a stored procedure to insert requested subjects as valid records in the SubjectAllotments Table according to the specified workflow.
- Project-4: Executed different queries on the Microsoft's Adventure Works Database 2022.
- Project-5: Executed queries using Stored Procedures, Functions, Views, and Triggers on the Microsoft's Adventure Works Database 2022.
- Project-6: Executed queries according to specific tasks assigned.
- Comprehensive SQL Queries: Various queries to interact with and manipulate data in the Microsoft's 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 Microsoft's Adventure Works Database 2022 schema for demonstrating SQL capabilities.
I, Chitransh Jaiswal 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:
- Fork the repository.
- Create a new branch (
git checkout -b feature/your-feature
). - Make your changes.
- Commit your changes (
git commit -am 'Add some feature'
). - Push to the branch (
git push origin feature/your-feature
). - 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!