https://github.com/ayyush08/dummy-data-generator

Node.js app using Express and Mongoose to generate and manage random employee data in MongoDB. Demonstrates CRUD operations and database interaction.
https://github.com/ayyush08/dummy-data-generator

Last synced: 26 days ago
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Node.js app using Express and Mongoose to generate and manage random employee data in MongoDB. Demonstrates CRUD operations and database interaction.

• Host: GitHub
• URL: https://github.com/ayyush08/dummy-data-generator
• Owner: ayyush08
• Created: 2024-04-06T17:00:55.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-05-09T02:12:15.000Z (9 months ago)
• Last Synced: 2024-05-09T03:25:50.519Z (9 months ago)
• Language: JavaScript
• Size: 18.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Random Employee Data Generator

## Overview

This Node.js application demonstrates the use of Express and Mongoose to interact with a MongoDB database. It provides a simple web interface that allows users to generate random employee data and save it to the database with a single click. This project is an excellent example of performing CRUD operations in a NoSQL database through a web application.

## Features

- Generate random employee data with attributes like name, salary, language, city, and managerial status.

- Utilize Express for server-side routing.

- Use Mongoose for MongoDB object modeling and data manipulation.

- Clear existing data from the database before generating new records to maintain uniqueness.

- Simple web interface built with EJS and Bootstrap for triggering data generation.

## Technologies Used

- Node.js

- Express

- Mongoose

- MongoDB

- EJS

- Bootstrap

## Getting Started

### Prerequisites

- Node.js and npm

- MongoDB

### Installation

1. Clone the repository:

git clone https://github.com/ayyush08/Dummy-Data-Generator.git

2. Navigate to the project directory:

cd Dummy-Data-Generator

3. Install dependencies:

npm install

### Usage

1. Ensure MongoDB is running on your system.

2. Start the application:

npm start

or if you prefer using Nodemon:

nodemon app.js

3. Open your browser and navigate to `http://localhost:3000` to see the application in action.

## Contribution

Contributions are welcome! For major changes, please open an issue first to discuss what you would like to change.