The idea of the DnA Platform originated from the common challenge every big company has - the need for transparency in the data and analytics area. In addition, several features were envisioned and realized, this time with the idea to facilitate a self-service and cloud-independent platform based holistically on open-source software. The goal is to simplify life and speed up the work of everyone working with data.
Please review our Wiki page for a full list of features that the DnA Platform offers out of the box.
Please have a look at our upcoming features.
If you would like to try our DnA Platform, please follow the installation guide where we provide two ways to install this application:
- Docker Compose
- Please only use Docker Compose for local testing.
- Helm
- For a complete production installation, we recommend using the Helm method.
In our Helm and Docker Compose installations, we currently provide multiple services including the following:
- Airflow
- Dashboard
- DnA
- Jupyter Notebooks
- Malware Scanning
- Namespace as a Service (NaaS)
- Storage Services
- Vault Services
We will soon offer the Docker Compose and Helm charts for the Kubeflow Pipeline, Model Registry, and Trino, so please check back frequently.
If you're interested in getting a glimpse of how this all ties together, then please see this short overview.
If you're interested in learning how we're ensuring security on our DnA platform, then please see this short overview.
We welcome any contributions.
Please Note:
- We may need a few weeks to settle and review your ideas or contributions efficiently.
- If you would like to contribute to the project, please read the contributing guide.
Please read our Code of Conduct as it is our base for interaction.
This project is licensed under the MIT LICENSE.
Please visit (https://www.mercedes-benz-techinnovation.com/en/imprint/) for information on the provider.
Notice:
Before using the DnA program in production, please take all of the necessary precautions such as testing and verifying the program regarding your specific use case. The source code has been tested solely for our own use cases, which might differ from yours