Design a near real-time analytics pipeline for a critical metric
This tests your grasp of stream processing trade-offs (latency, cost, correctness). Outline a 4-stage pipeline (ingest, process, store, visualize) with specific tech choices, contrasting its low-latency, high-cost nature with batch.
This tests your practical knowledge of stream processing architectures and the trade-offs between latency, cost, and data correctness. A strong answer outlines a four-stage pipeline (ingest, process, store, visualize) with justified tech choices, contrasting challenges like out-of-order data with a simpler daily batch system. A red flag is listing tools without explaining why they fit the low-latency requirement or ignoring operational complexity.
Read the original → evermethod.com
- #system design
- #data engineering
- #analytics
- #streaming
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