The Orchestration page in BigQuery now offers seamless integration with Airflow DAGs in Cloud Composer 3. This update makes it easier than ever to manage data workflows directly from BigQuery, enabling users to launch, pause, monitor, and analyze their DAGs in a centralized interface.
Airflow is an open-source workflow management tool that helps schedule and automate complex data pipelines. Its DAGs (Directed Acyclic Graphs) represent a sequence of tasks, from data extraction to processing and reporting. With BigQuery's Orchestration, users can monitor the status of all project DAGs, view detailed logs, analyze task dependencies, and even review code, all from within the Google Cloud Console.
Getting started is simple: enable the Cloud Composer API, set up a Cloud Composer 3 environment, and start uploading DAGs. For permissions, you’ll need specific IAM roles to view, trigger, and manage your DAGs. Once set, the Orchestration page allows you to efficiently track data flows and debug workflows as needed.
If you work with GA4 to BigQuery exports, be sure to check out my SQL cheat sheet.
