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articles/data-factory/airflow-sync-github-repository.md

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[!INCLUDE[appliesto-adf-xxx-md](includes/appliesto-adf-xxx-md.md)]
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While you can certainly manually create and update Directed Acyclic Graph (DAG) files for Azure Managed Apache Airflow using the Azure Storage or using the [Azure CLI](/azure/storage/blobs/storage-quickstart-blobs-cli.md), many organizations prefer to streamline their processes using a Continuous Integration and Continuous Delivery (CI/CD) approach. In this scenario, each commit made to the source code repository triggers an automated workflow that synchronizes the code with the designated DAGs folder within Azure Managed Apache Airflow.
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While you can certainly manually create and update Directed Acyclic Graph (DAG) files for Azure Managed Apache Airflow using the Azure Storage or using the [Azure CLI](/azure/storage/blobs/storage-quickstart-blobs-cli), many organizations prefer to streamline their processes using a Continuous Integration and Continuous Delivery (CI/CD) approach. In this scenario, each commit made to the source code repository triggers an automated workflow that synchronizes the code with the designated DAGs folder within Azure Managed Apache Airflow.
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In this guide, you will learn how to synchronize your GitHub repository in Managed Airflow in two different ways.
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