We show a lightweight scalable data pipeline that runs large Python jobs on a schedule on the cloud. Data Cost 575 million records / day $10/day It’s common to run regular large-scale Python jobs on the cloud as part of production data pipelines. Modern workflow orchestration systems like Prefect, Dagster, Airflow, Argo, etc.
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