The Hidden Cost of Technical Debt in Modern Data Platforms
Every data team accumulates technical debt — shortcuts taken under pressure, schema designs that made sense in Q1 but break under Q4 load, pipelines that work until they don't. The real question is: at what point does the debt compound faster than you can pay it down?
This article examines three data platform teams who faced this inflection point and documents the architectural decisions that ultimately paid off.