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Data Modeling and Airflow Scheduling - star schema, cron, backfill

SQLeasy0.5 min readPremium
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Lumiq
Key Concepts Tested
airflow
Expert AnswerPremium
94 wordsInterview-ready
**Architectural Logic**: Star schema + cron + backfill form a production batch pattern. **Star Schema**: Fact tables with conformed dimensions; optimizes BI query patterns. **Cron**: `schedule_interval='0 2 * * *'` (2 AM daily); align with source freshness. **Backfill**: `airflow dags backfill -s start_date -e end_date` or TriggerDagRun with execution_date. **Why catchup=False**: Prevents unintended historical runs; use explicit backfill DAG for controlled replays....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Lumiq. The answer also includes follow-up discussion points that interviewers commonly explore.

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