What is the purpose of monitoring in data pipelines?
- Designing data models
- Detecting and resolving issues in real-time
- Generating sample data
- Optimizing SQL queries
Monitoring in data pipelines serves the purpose of detecting and resolving issues in real-time. It involves tracking various metrics such as data throughput, latency, error rates, and resource utilization to ensure the smooth functioning of the pipeline. By continuously monitoring these metrics, data engineers can identify bottlenecks, errors, and performance degradation promptly, enabling them to take corrective actions and maintain data pipeline reliability and efficiency.
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