Data Enginnering, Data Pipeline, Etl, Workflow Management, Airflow.
successfully. This saves cluster resources and cost. If there is a delay in upstream pipeline, the downstream pipeline will not be executed which avoids running on incomplete or no data which would require rerunning the job again. Usually only suitable if the end-to-end data workflow orchestration