Multiple tables + window: join fact to dims, then apply window (PARTITION BY dim, ORDER BY date). Example: SELECT f.*, d.name, SUM(f.amount) OVER (PARTITION BY f.customer_id ORDER BY f.date) running_total FROM fact f JOIN dim_customer d ON f.customer_id = d.id. Use CTEs: with joined as (select ... joins), windowed as (select *, row_number() over (...) from joined) select * from windowed where ... **Why it matters**: Design choices compound at scale—wrong approach can cause 100× overhead....
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 Lumiq. The answer also includes follow-up discussion points that interviewers commonly explore.
Continue Reading the Full Answer
Unlock the complete expert answer with code examples, trade-offs, and pro tips - plus 1,863+ more.
Or upgrade to Platform Pro - $39
Engineers who used these answers got offers at
AmazonDatabricksSnowflakeGoogleMeta
According to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.