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Explain how you would optimize Redshift query performance for a reporting system with large fact tables.

SQLmedium0.4 min readPremium
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Capco
Key Concepts Tested
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Expert AnswerPremium
74 wordsInterview-ready
**Architectural Logic**: Distribution, sort keys, vacuum, materialized views—foundation for Redshift. **Strategies**: (1) DISTKEY on join column. (2) SORTKEY on filter columns (date, region). (3) VACUUM and ANALYZE regularly. (4) Result cache. (5) Materialized views for common aggregates. (6) Column compression. (7) Avoid SELECT *. **Scalability**: Design distribution and sort from start; monitor query plans. **Cost**: Right-sizing; concurrency scaling for spikes....
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 Capco. The answer also includes follow-up discussion points that interviewers commonly explore.

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