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This is the fourth post in my series, Towards Open Options Chains: A Data Pipeline for Collecting Options Data at Scale. We will build on our work in the previous two parts by converting our ETL pipeline into a Directed Acyclic Graph (DAG). This comprises the tasks and dependencies for the pipeline on Airflow. DAGs are essentially Python scripts that contain the code for each step in the data pipeline, and contain the standard code blocks.