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Home/Questions/Spark/Big Data/A data pipeline processes files for different clients stored in separate directories. Explain how you would use dynamic DAG creation to handle client-specific workflows in Airflow.

A data pipeline processes files for different clients stored in separate directories. Explain how you would use dynamic DAG creation to handle client-specific workflows in Airflow.

Spark/Big Datahard0.3 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Dunnhumby
Key Concepts Tested
airflow
Expert AnswerPremium
62 wordsInterview-ready
**Architecture Diagram**: [Config/DB] -> [DAG Factory] | | v v [Client List] create_dag(client_id) | | +---------> [DAG: process_client_X] | v [Extract] -> [Transform] | | +---------> Loop over clients: for client in get_clients(): globals()[f'process_{client}'] = create_client_dag(client)....
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