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Apache Airflow workflows are defined using a DAG file, which is defined using a python script. What are some common best practices associated with writing

Apache Airflow workflows are defined using a DAG file, which is defined using a python script. What are some common best practices associated with writing DAGs?
i. Use operators to write code such as python scripts and SQL queries within the DAG.
ii. Define your task dependencies at the end of your DAG file.
iii. Ensure you have a default_args dictionary, including information on your pipeline configuration.
iv. Use the ">>" or "<<" instead of the set_upstream() or set_downstream() functions to set up task dependencies.

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