I wanted to share two pieces that explore effective schema-driven development from different angles. If you're dealing with data quality issues or spending too much time debugging integration problems, these are worth reading.

Escaping the Void of the Data Abyss (at Nike)

This blog post tackles the broader problem of data fragmentation and how schema-driven approaches help maintain data integrity across systems. It's a good read if you're thinking about how to establish clearer boundaries and expectations in your data infrastructure.

From Reactive to Proactive: How Clinician Nexus Built a Schema-Driven Data Platform with Buf

This case study walks through how Clinician Nexus moved from reactive debugging to proactive governance. It covers how they now catch issues earlier, reduce back-and-forth between teams, and make data contracts explicit rather than implicit.

Both pieces are relatively quick reads and will give you ideas you can apply to your own data ecosystem.