Your question is Star vs Snowflake for Ops. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Corporate operations data often supports recurring reporting, KPI tracking, and ad hoc analysis across domains like manufacturing, logistics, and supply chain. The schema design you choose affects query complexity, performance, and how reliably dimensions stay consistent over time.
You are asked to explain how you would decide between a star schema and a snowflake schema for operations data such as Lattice manufacturing events, supply chain movements, or fleet readiness reporting. Discuss the trade-offs around query simplicity, storage efficiency, data integrity, maintainability, and analyst usability. You should also explain how the choice changes common SQL patterns such as joins, aggregations, and dimensional filtering.
A strong answer should compare both models directly, describe when each is the better fit, and mention how business usage patterns and data quality requirements influence the decision. You do not need to design a full warehouse, but you should reason concretely about reporting and analytics workloads.