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Describe how you would design a data catalog for managing metadata

System Design/Architecturehard4 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
optimizationpartitionspark
Expert AnswerPremium
797 wordsIncludes code examplesInterview-ready
**Section 1 — The Context (The 'Why')** This system faces scale and failure challenges at production. A naive approach breaks under load, loses data, or violates compliance. The primary challenge varies by domain: notifications need preference respect; banking needs ACID; pipelines need idempotency....
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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