Data-Warehousing

Sensor Data ELT

A fully dockerized ELT pipeline project, using MYSQL, dbt, Apache Airflow, and Redash.
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgements

About The Project

![Product Name Screen Shot][product-screenshot]

Scalable ELT Tech Stack

Built With

Tech Stack used in this project

• MYSQL
• Apache Airflow
• dbt
• Redash

Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

Make sure you have docker installed on local machine.

• Docker
• DockerCompose

Installation

1. Clone the repo

   git clone https://github.com/behigu/Data-Warehousing

2. Run

    docker-compose up

3. Enter your API in config.js

   Navigate to `http://localhost:8000/` on the browser

Usage

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Behigu Gizachew - be.gizachew@gmail.com

Project Link: https://github.com/behigu/Data-Warehousing

Acknowledgements

• 10 Academy