Quickstart: Create a Data workflow

مقالة
05/21/2024

Note

Data workflows is powered by Apache Airflow.
Apache Airflow is an open-source platform used to programmatically create, schedule, and monitor complex data workflows. It allows you to define a set of tasks, called operators, that can be combined into directed acyclic graphs (DAGs) to represent data pipelines.

Data workflows provide a simple and efficient way to create and manage Apache Airflow environments, enabling you to run your data workflows at scale with ease. In this quickstart, you create your first Data workflow and run a Directed Acyclic Graph (DAG) to familiarize yourself with the environment and functionalities of Data workflows.

Prerequisites

Enable Data workflows in your Tenant.

Note

Since Data workflows is in preview state, you need to enable it through your tenant admin. If you already see Data workflows, your tenant admin may have already enabled it.

Go to Admin Portal -> Tenant Settings -> Under Microsoft Fabric -> Expand 'Users can create and use Data workflows (preview)' section.
Select Apply.

Create a Data workflow

You can use an existing workspace or Create a new workspace.
Expand + New dropdown -> Click on More Options -> Under Data Factory section -> Select Data workflows (preview)
Give a suitable name to your project and click on the "Create" button.

Create a DAG File

Click on "New DAG file" card -> give the name to the file and Click on "Create" button.
A boilerplate DAG code is presented to you. You can edit the file as per your requirements.
Click on "Save icon".

Run a DAG

Begin by clicking on the "Run DAG" button.
Once initiated, a notification will promptly appear indicating the DAG is running.
To monitor the progress of the DAG run, simply click on "View Details" within the notification center. This action will redirect you to the Apache Airflow UI, where you can conveniently track the status and details of the DAG run.