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Task Dependencies in DAG

Spark/Big Dataeasy0.5 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
Verizon
Key Concepts Tested
airflow
Expert AnswerPremium
105 wordsInterview-ready
**Why Dependencies Matter**: Without explicit order, Airflow would run all tasks at once—breaking extract-before-load semantics and exhausting resources. **Syntax**: `task_a >> task_b >> task_c` or `task_a >> [task_b, task_c]` for fan-out. **Trigger Rules**: `all_success` (default), `all_done`, `one_success`, `one_failed`, `none_failed`, `always`....
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