dbrew 0.0.3

Brew and orchestrate your data products seamlessly into actionable deployments with DBrew, the CLI tool tailored for modern data maestros.

DBrew: Your Data Product Concoction Companion

Brew and orchestrate your data products seamlessly into actionable deployments with DBrew, the CLI tool tailored for modern data maestros.

Features

• YAML Configuration Validation: Ensures your data product configurations are in check.
• Automated Documentation Generation: Keeps your project's documentation fresh and updated.
• Docker Image Creation: Preps your data for deployment with ease.
• DAG Generation and Deployment: Orchestrates your data workflows smoothly.

Getting Started

Prerequisites

• Ensure you have Docker installed.
• Have access to an Airflow instance for DAG deployment.

Installation

pip install dbrew

Usage

1. Navigate to the root of your data product project.
2. Create a dataproduct.yml file with your data product specifications.
3. Run the following command to validate your configuration, generate documentation, create a Docker image, and deploy your DAG:

dbrew brew

Feedback

We value your feedback! For bug reports, feature requests, or general queries, feel free to open an issue.

Contribute

Want to contribute to DBrew? We appreciate your help! Check out the CONTRIBUTING.md file for guidelines.

License

DBrew is licensed under the MIT License. See the LICENSE file for details.