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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Question: 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?

.

Use operators to write code such as python scripts and SQL queries within the DAG.

.

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.

.

Use the

" > > "

" < < "

instead of the set

_

upstream

()

or set

_

downstream

()

functions to set up task dependencies.

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