What Happens to Your Pipeline When the Source System Changes Without Warning
📰 Dev.to · Andrew Tan
Learn how to handle unexpected source system changes in your pipeline and ensure data integrity
Action Steps
- Identify potential source system changes using monitoring tools
- Implement schema drift detection mechanisms
- Use data validation techniques to ensure data integrity
- Configure alerts for upstream breaking changes
- Test and update pipeline configurations to adapt to changes
Who Needs to Know This
Data engineers and pipeline managers can benefit from this article to handle schema drift and upstream breaking changes
Key Insight
💡 Unexpected source system changes can break your pipeline, but proactive monitoring and detection can help mitigate the issue
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💡 Handle unexpected source system changes in your pipeline with monitoring, detection, and validation techniques
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