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.
Accelerate Migration from Control-M to Apache Airflow with DAGify
Instructor: Google Cloud Training
Included with
What you'll 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
Skills you'll practice
Details to know
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November 2024
Only available on desktop
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About this project
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How you'll learn
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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