This repository contains code and resources related to processing large-scale data using various technologies and tools.

The "Data Processing at Scale" project focuses on tackling various data processing challenges at scale. It involves handling large volumes of data efficiently and effectively to extract meaningful insights or perform specific tasks.

• Scalable Solutions: Provides scalable solutions for processing large datasets.
• Efficiency: Emphasizes on efficient algorithms and techniques for data processing.
• Flexibility: Solutions are designed to be adaptable to different types of data processing tasks.

1. Clone the Repository: Clone this repository to your local machine using the following command:

   git clone https://github.com/TanoojSeelam/Data-Processing-at-Scale.git

2. Explore Solutions: Navigate through the repository to explore solutions provided for various data processing challenges.

3. Implement or Extend: Use the provided solutions as reference implementations for your own projects or extend them to address specific data processing needs.

Contributions to the project are welcomed. If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/YourFeature).
3. Commit your changes (git commit -am 'Add some feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Open a pull request.

This project is licensed under the MIT License.