A fully dockerized ELT pipeline project, using MYSQL, dbt, Apache Airflow, and Redash.
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![Product Name Screen Shot][product-screenshot]
Scalable ELT Tech Stack
Tech Stack used in this project
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.
Make sure you have docker installed on local machine.
- Docker
- DockerCompose
- Clone the repo
git clone https://github.com/behigu/Data-Warehousing
- Run
docker-compose up
- Enter your API in
config.js
Navigate to `http://localhost:8000/` on the browser
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
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE
for more information.
Behigu Gizachew - [email protected]
Project Link: https://github.com/behigu/Data-Warehousing