## Amazon Managed Workflows for Apache Airflow (MWAA) using Apache Airflow 2.4.3 Examples

This examples in this directory demonstrates how to use the below new features of Apache Airflow 2.4.3 in an Amazon MWAA environment:
 -  Data-aware scheduling using Datasets
 -  Dynamic Task Mapping

There is also an example DAG code that will allow you to verify the Python version that is pre-installed in your MWAA environment.

### Blog
This code is intended to support the AWS blog post: What’s new with Amazon MWAA support for Apache Airflow version 2.4.3

### Versions Supported
Apache Airflow 2.4.3 on Amazon MWAA.

### Setup 
The respective folders have instructions as to how you can setup the DAGs to enable the features in your own Amazon MWAA Airflow 2.4.3 environment.

### Requirements.txt needed
None

### Plugins needed
None

### Explanation
Each of the folders has necessary explanations of the DAG code used to implement the feature.

## Security

See [CONTRIBUTING](../blob/main/CONTRIBUTING.md#security-issue-notifications) for more information.

## License

This library is licensed under the MIT-0 License. See the [LICENSE](../blob/main/LICENSE) file.