https://github.com/datachefhq/aws-data-landing-zone-example-python
Python example for Data Landing Zone
https://github.com/datachefhq/aws-data-landing-zone-example-python
Last synced: 10 months ago
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Python example for Data Landing Zone
- Host: GitHub
- URL: https://github.com/datachefhq/aws-data-landing-zone-example-python
- Owner: DataChefHQ
- Created: 2024-11-26T08:51:38.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-03T12:49:57.000Z (over 1 year ago)
- Last Synced: 2025-03-01T23:56:39.565Z (over 1 year ago)
- Language: Python
- Homepage: https://datalandingzone.com
- Size: 21.5 KB
- Stars: 1
- Watchers: 4
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AWS Data Landing Zone Example
The **Data Landing Zone (DLZ)** is a CDK construct designed to accelerate AI
and data-related projects. It provides an opinionated Landing Zone, laying
the foundation for a multi-account AWS strategy, allowing you to focus on
delivering data and AI solutions.
The DLZ can be deployed in existing AWS Organizations or used in greenfield
projects. It supports setups ranging from small organizations with a few
accounts to large enterprises with hundreds of accounts.
The CDK construct is available in both TypeScript and Python.
This repository demonstrates an example use case of the DLZ. For more
details and available options, visit [datalandingzone.com](https://datalandingzone.com).
## Configuration
- To review the basic required parameters, refer to the [config_minumum.py](./data_landing_zone_example_python/config_minumum.py) file.
- For a more complete example, showing all the possible options,
refer to [config_complete.py](./data_landing_zone_example_python/config_complete.py) file.
For a detailed documentation and available APIs, you can check the docs main website.
## Contributing 🤝
We welcome contributions from the community! If you're interested in
contributing to DLZ, visit our [GitHub repository](https://github.com/DataChefHQ/recipes_data-landing-zone_data-landing-zone)
for more details on how to get involved.
#### Made with ❤️ by [DataChef](https://datachef.co)