Scenario: A company is facing challenges in managing dependencies between Hive jobs within Apache Airflow. As a solution architect, how would you design a dependency management strategy to address this issue effectively?
- Directed acyclic graph (DAG) structure
- External triggers and sensors
- Task grouping and sub-DAGs
- Task retries and error handling
Designing an effective dependency management strategy for Hive jobs within Apache Airflow involves considerations such as implementing a directed acyclic graph (DAG) structure, configuring task retries and error handling, utilizing external triggers and sensors, and organizing tasks into sub-DAGs. These strategies help in ensuring proper execution order, handling failures gracefully, and improving workflow reliability and maintainability.
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