Accelerate Migration from Control-M to Apache Airflow with DAGify

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Accelerate Migration from Control-M to Apache Airflow with DAGify

Coursera · Intermediate ·📰 AI News & Updates ·3mo ago

Key Takeaways

Accelerates migration from Control-M to Apache Airflow using DAGify

Original Description

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.
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