The modern data stack has undergone a decade+ transition from disparate data sources to consolidated data and cleaned definitions (which is good), but even then the consolidation is never perfect and a lot of messiness is introduced.
这一观察揭示了现代数据栈的悖论：尽管数据整合和清理取得了进展，但完美整合是不可能的，数据混乱仍然存在。这挑战了数据整合就能解决所有问题的假设，强调了持续管理的重要性。