https://github.com/abhaymishra24/company-data-management-sql-project
SQL project manage the company data from different department database
https://github.com/abhaymishra24/company-data-management-sql-project
database dbms-mini-project sql
Last synced: about 1 month ago
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SQL project manage the company data from different department database
- Host: GitHub
- URL: https://github.com/abhaymishra24/company-data-management-sql-project
- Owner: abhaymishra24
- Created: 2024-09-24T17:21:08.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-04-29T04:47:47.000Z (about 1 year ago)
- Last Synced: 2025-04-29T05:29:36.798Z (about 1 year ago)
- Topics: database, dbms-mini-project, sql
- Homepage: https://abhaymishra24.github.io/abhamishra24.github.io/
- Size: 325 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Employees-Data-Management(SQL Project
)
#### (Manage employee and sales data in the company's database by executing SQL queries and DBMS commands.)
### Project Description✍️
Sample project based on an SQL query to filter data from a company database- In this project, included many files which filters all data of the company's employees, sales and other things. In employee table including their ID, Name, Salary, Hire Date, Department, etc.

### Objective✍️
- Filter the data from the company's database.
- Check employees' names, salaries, departments, and other relevant information according to the company's requirements.
- Check product sales of company and filter the different data collections from table of sales.
- Requirements to access employee data and sales data from a particular perspective.
- Filter the data for a better understanding of the workforce of the company and sales of company's product.
### Tech Stack⚙️
- SQL
- DBMS 
### Column include in Employee and sales Table-
There are 1000 of Data available in this Employees Table with 14 columns:
- EEID (Id of employees)
- Full_Name (full name of employees)
- Job_tittle (their job positions)
- Department (their departments)
- Business_unit (their Business unit)
- Gender (their genders identification)
- Ethnicity (their continent)
- Age (their age)
- Hire_date (their first hiring date)
- Annual_salary (their particular annual salaries)
- Bonus_per (their bonus in percentage)
- Country (their origin country)
- City (their city as well)
- Exit_date (their exit data from company)
[ In this project, I added two files containing employee data and performed various SQL queries to filter new data from the Employees Database.📄✍️🧑💻 ]
#### [ In sales tables , there are 50 plus data available of different product sale ( I add one file containing sale data and performed various SQL queries to filter new data from the Company's Database.📄✍️🧑💻]
( I did not mentioned all columns here from sales table).
### Thank you for visit on this repository😊
Feel free to explore my other repositories and reach out to me for collaborations or discussions on new idea and projects.🤝😊🧑💻