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Explain how you would optimize a data lake architecture for performance and cost-efficiency

System Design/Architecturehard3.4 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in System Design/Architecture
Difficulty Split
15E|6M|158H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
McKinsey
Key Concepts Tested
joinoptimizationpartitionspark
Expert AnswerPremium
683 wordsIncludes code examplesInterview-ready
**Section 1 — The Context (The 'Why')** This system design addresses "Explain how you would optimize a data lake architecture for performance and cost..." at production scale. The primary challenges are throughput under variable load, fault tolerance across distributed components, and maintaining consistency guarantees that match business requirements....
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 McKinsey. The answer also includes follow-up discussion points that interviewers commonly explore.

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