What is the primary purpose of error handling in data pipelines?
- Enhancing data visualization techniques
- Identifying and resolving data inconsistencies
- Optimizing data storage efficiency
- Preventing data loss and ensuring data reliability
Error handling in data pipelines primarily focuses on preventing data loss and ensuring data reliability. It involves mechanisms to detect, capture, and address errors that occur during data processing, transformation, and movement. By handling errors effectively, data pipelines maintain data integrity and consistency, ensuring that accurate data is available for downstream analysis and decision-making.
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