Situation: Stakeholders requested real-time dashboards with sub-second latency on a batch-oriented warehouse. Task: Manage expectations and deliver value without over-investing. Action: I analyzed cost and complexity—real-time would require Kafka, streaming infra, and significant new headcount. I proposed a compromise: micro-batch every 15 minutes with the existing Spark stack, delivering ~90% of value at ~20% of cost. I documented trade-offs (freshness vs....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Verizon. The answer also includes follow-up discussion points that interviewers commonly explore.
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