Schema Evolution in Data Pipelines: Best Practices for Smooth Updates
Data pipelines are living systems. Business requirements change, applications evolve, and data sources transform over time. Yet many data engineering teams treat schemas as static contracts, leading to broken pipelines, data loss, and frustrated stakeholders when inevitable changes occur. Schema evolution—the ability to modify data structures while maintaining pipeline integrity—is not just a nice-to-have feature. … Read more