Microsoft Fabric Blog announces new File Management APIs for Apache Airflow Jobs, enabling developers to programmatically manage DAG files and automate data workflows within the Fabric Data Factory platform.

Apache Airflow Job File Management APIs for Fabric Data Factory

Microsoft Fabric introduces the Apache Airflow Job File Management APIs, aimed at enhancing workflow orchestration by providing developers with complete programmatic control over job files in Apache Airflow environments. These APIs enable seamless automation and integration for complex data workflows in Fabric Data Factory.

API Capabilities

  • Upload and Manage DAG Files: Add or update Directed Acyclic Graphs (DAGs) efficiently, eliminating manual updates and supporting dynamic workflow changes.
  • List and Retrieve Files: Access a comprehensive view of all job files to facilitate auditing, troubleshooting, and compliance tracking.
  • Secure File Operations: Built-in authentication and role-based access control offer enterprise-grade security for file management.
  • Supported Endpoints:
    • Get Apache Airflow Job File (by path)
    • Create/Update Apache Airflow Job File
    • Delete Apache Airflow Job File
    • List Apache Airflow Job Files

Practical Scenarios

Dynamic Workflow Updates

Real-time DAG updates without restarting the Airflow environment, supporting frequent schema changes and agile data engineering.

Compliance and Audit

Retrieve historical DAG versions for regulatory requirements and debugging. Maintains a full audit trail of changes.

Error Recovery

Facilitates programmatic rollback and retry whenever workflow misconfigurations occur, minimizing downtime and ensuring workflow reliability.

Getting Started

For full documentation and integration guidance, visit the Fabric Data Factory Apache Airflow Jobs API Capabilities page.

The File Management APIs form the backbone for scalable, secure, and automated data pipeline management in Microsoft Fabric, supporting advanced orchestration with robust auditing and security features.

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