Design a Schema Validation System for Analytics Events
This tests your ability to balance data quality, performance, and developer experience. A good answer defines a central 'Tracking Plan,' enforces it on the client for feedback and the server for integrity, and quarantines failed events.
This question tests your ability to design a robust system with practical trade-offs, not just a simple validator. A strong answer outlines a defense-in-depth strategy: define a version-controlled 'Tracking Plan,' enforce it on the client for fast developer feedback and on the server as the authoritative gate, and handle failures by routing invalid events to a 'dead-letter queue' for analysis and alerting on error spikes. A major red flag is suggesting only client-side validation or silently dropping invalid data.
Read the original → twilio.com
- #system design
- #data engineering
- #analytics
- #data quality
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