Describe tracking a user event end-to-end from frontend to BI tool
WHAT IT TESTS: Grasp of data pipeline layers from product to warehouse. ANSWER OUTLINE: Mention frontend instrumentation, routing, ingestion, warehouse transforms, and BI querying. RED FLAG: Stopping at the backend or confusing analytics with application logs.
WHAT IT TESTS: This checks your understanding of handoffs across the modern data stack from product to analytics. ANSWER OUTLINE: A strong answer covers five layers: frontend instrumentation and schema design; routing via an analytics SDK or collector; cloud ingestion into a warehouse using managed ELT; transformation to model sessions or funnels; and exposing the data through a BI tool for self-service querying. RED FLAG: Treating the application database as the final destination or conflating product analytics with operational logging.
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- #data-engineering
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- #bi-tools
- #modern-data-stack
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