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Accelerate Migration from Control-M to Apache Airflow with DAGify

By External Provider

Price

Free

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Level

INTERMEDIATE

Duration

1 h

About this course

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on using DAGify to convert Control-M export files into a Python Native DAG and upload migrated DAGs in Cloud Composer environment.

What you will learn

  • Create a Cloud Composer 3 environment. Download and configure DAGify
  • Use DAGify to convert Control-M export files into a Python native DAG. Deploy DAGs to the Cloud Composer environment
  • Make modifications to the DAGify configuration and templates