A comprehensive Docker image designed to facilitate metadata sharing between dbt data models and various Business Intelligence (BI) tools. This image serves as a bridge for continuous integration and deployment workflows, enabling seamless synchronization of data models across multiple BI platforms.
This Docker image automates the process of importing dbt model metadata into popular BI tools, ensuring consistency between your data transformation layer and business intelligence platforms. It supports multiple data warehouses and BI tools, making it a versatile solution for modern data stack implementations.
The image is built on Python 3.11.11 and includes comprehensive tooling for:
- dbt Core with support for multiple adapters (BigQuery, Snowflake, Redshift, Fabric)
- Lightdash CLI for metadata synchronization
- Google Cloud SDK for GCP authentication and operations
- Node.js and npm for additional tooling support
- Automated database connection management
- Model synchronization and metadata import
- Support for multiple warehouse types
- Environment-specific configurations
- CLI-based metadata synchronization
- Automated project setup and configuration
- Continuous integration support
- LookML model and view generation
- Git repository integration
- Automated project configuration
- BigQuery-specific optimizations
- Database connection automation
- Model synchronization
- Multi-warehouse support (BigQuery, Snowflake, Redshift)
- Test environment management
tsb-data-analysis-import-core/
├── dbt2superset/ # Superset integration scripts
├── dbt2lightdash/ # Lightdash integration scripts
├── dbt2looker-bigquery/ # Looker Enterprise integration
├── dbt2metabase/ # Metabase integration scripts
├── Dockerfile # Container definition
├── app-entrypoint.sh # Main entrypoint script
├── requirements.txt # Python dependencies
└── build.sh # Build automation script
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
This project is licensed under the MIT License - see the LICENSE file for details.
MIT License
Copyright (c) 2025 Fast.BI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
This project is part of the FastBI platform infrastructure.
For support and questions, contact: support@fast.bi