Dynamic DAG generation with YAML and DAG Factory in Amazon MWAA
Big Data Blog
This article discusses how to create dynamic DAGs (Directed Acyclic Graphs) in Amazon Managed Workflows for Apache Airflow (Amazon MWAA) using YAML files and the DAG Factory library. Dynamic DAGs allow generating DAGs on the fly during runtime based on external conditions or configurations.
Specifically, the article covers:
- Overview of the solution for processing a COVID-19 dataset using dynamic DAGs
- Prerequisites for setting up the environment, including creating an Amazon MWAA environment and an S3 bucket
- Step-by-step instructions for configuring the dynamic DAGs using YAML files and Python scripts
- Benefits of using dynamic DAGs, such as enhanced code reusability, streamlined maintenance, flexible parameterization, improved scheduler efficiency, and enhanced scalability
- Conclusion highlighting the advantages of dynamic DAGs and their potential use cases
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