updated content

Author: nabhishek

articles/data-factory/how-does-managed-airflow-work.md

@@ -16,7 +16,8 @@ ms.date: 01/20/2023
 > [!NOTE]
 > Managed Airflow for Azure Data Factory relies on the open source Apache Airflow application. Documentation and more tutorials for Airflow can be found on the Apache Airflow [Documentation](https://airflow.apache.org/docs/) or [Community](https://airflow.apache.org/community/) pages.
 
-Azure Data Factory Managed Airflow orchestrates your workflows using Directed Acyclic Graphs (DAGs) written in Python. You must provide your DAGs and plugins in Azure Blob Storage. Airflow requirements or library dependencies can be installed during the creation of the new Managed Airflow environment or by editing an existing Managed Airflow environment. Then run and monitor your DAGs by launching the Airflow UI from ADF using a command line interface (CLI) or a software development kit (SDK).
+Managed Airflow in Azure Data Factory uses Python-based Directed Acyclic Graphs (DAGs) to run your orchestration workflows. 
+To use this feature, you need to provide your DAGs and plugins in Azure Blob Storage. You can launch the Airflow UI from ADF using a command line interface (CLI) or a software development kit (SDK) to manage your DAGs.
 
 ## Create a Managed Airflow environment
 The following steps set up and configure your Managed Airflow environment.
@@ -130,4 +131,4 @@ If you're using Airflow version 1.x, delete DAGs that are deployed on any Airflo
 * [Run an existing pipeline with Managed Airflow](tutorial-run-existing-pipeline-with-airflow.md)
 * [Refresh a Power BI dataset with Managed Airflow](tutorial-refresh-power-bi-dataset-with-airflow.md)
 * [Managed Airflow pricing](airflow-pricing.md)
-* [How to change the password for Managed Airflow environments](password-change-airflow.md)
+* [How to change the password for Managed Airflow environments](password-change-airflow.md)