Create complex data workflows using Apache Airflow for orchestration and scheduling.
Tools & Technologies
AirflowData PipelineETLOrchestrationWorkflow
Objective
Build scalable data pipeline using Airflow for workflow orchestration.
Requirements
- Deploy Airflow
- Create DAGs
- Define operators and sensors
- Configure connections
- Implement monitoring
- Handle failures
Tips
Use KubernetesExecutor for isolation. Keep DAGs simple. Implement idempotent tasks. Monitor task duration. Use XCom sparingly.
Solution
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Difficulty & Effort Breakdown
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Advanced(Expert-Level)
100 min
Est. Time
6
Requirements
5
Technologies
Orchestration
Category
Prerequisite Knowledge
This is an advanced task. You should have solid experience with Data Engineering, understand production-level patterns, and have completed intermediate tasks in Orchestration.
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