ended5월 16일· 1 sources
Why Event-Driven Architecture Beats Fixed Schemas for Evolving Data
변화하는 데이터를 위한 설계: 이벤트 기반 데이터베이스 아키텍처
Why it matters
Fixed schemas are fundamentally misaligned with evolving business requirements, especially in multi-department environments where data shapes differ and specifications constantly change—a problem traditional SQL design cannot solve. Oran's event-driven approach—capturing what happened, storing flexible attributes of those events, and versioning the definitions of those attributes—enables seamless accommodation of new data types without costly migrations or rigid redesigns. This pattern is essential for organizations moving beyond static product specs toward iterative development cycles where data structures are inherently fluid and requirements continuously shift.
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Event-driven architectureSchema evolutionDynamic attributesAttribute versioningFlexible schema