Trade-offs: Pre-aggregation vs. querying raw event data
This tests your grasp of data engineering trade-offs for analytics dashboards. A great answer contrasts pre-aggregation (fast, cheap, stale) with on-the-fly queries (slow, costly, fresh) and mentions hybrid solutions.
This tests your practical understanding of data system design for analytics, balancing performance, cost, freshness, and flexibility. A strong answer defines pre-aggregation (low latency, reduced DB load/cost) and contrasts it with on-the-fly queries (high freshness, full flexibility). The best answers propose hybrid models based on user needs (e.g., finance vs. ops dashboards). A major red flag is advocating for one solution as universally "best" without discussing the specific trade-offs for the use case.
Read the original → docs.embeddable.com
- #data engineering
- #system design
- #analytics
- #databases
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