Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
When modeling data for complex event processing (CEP) within a lakehouse, which design approach is most efficient for detecting patterns and executing temporal queries on high-velocity event streams?
A
Utilize a graph database model within the lakehouse to efficiently map event relationships and patterns.
B
Store events in a flat, denormalized structure with precomputed temporal attributes to accelerate pattern matching queries.
C
Normalize event data across multiple tables to reduce redundancy and facilitate complex joins for pattern detection.
D
Implement custom partitioning and bucketing strategies based on event types and temporal characteristics to optimize query performance.
