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Курс от Google Cloud
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Accelerate Migration from Control-M to Apache Airflow with DAGify
Курс от Google CloudО курсе
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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1 модулей · 1 учебных материалов
01Accelerate Migration from Control-M to Apache Airflow with DAGify1 материалов
Accelerate Migration from Control-M to Apache Airflow with DAGify
Accelerate Migration from Control-M to Apache Airflow with DAGifyВнешний инструментУчитесь у экспертов
Google Cloud Training
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