Domain Modeling
Data Ownership and Read Model Boundaries
Untangle who owns writes, projections, and cache invalidation when microservices share datasets through events and nightly loads.
4 days, hybrid · Studio · starts
₩3,500,000 · informational reference only
Program narrative
This studio maps read models to source-of-truth services, highlights risky dual-writes, and produces decision logs product teams can defend in roadmap reviews.
What is included
- Ownership RACI tailored to data domains
- Projection lag acceptance criteria
- Cache invalidation decision tree
- Conflict resolution workshop for analytics vs operational views
- Migration sequencing templates
- Sample policy for personal data minimization
- Executive briefing on residual coupling
Outcomes
- Assign authoritative writers for four core entities
- Document acceptable staleness for downstream dashboards
- List deprecated read paths with sunset dates
Hana Sorell
Program director focused on large-scale modularization in regulated environments.
Participant questions
No. We prioritize the highest-change entities you nominate beforehand.
Recent participant notes
Data Ownership Studio made our analytics team part of the conversation without derailing delivery.