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What's your approach to data versioning in a data lake?

System Design/Architecturehard0.3 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
Freecharge
Interview Pro Tip

Pro-Move: Delta time travel for debugging. Red Flag: No versioning strategy for mutable data.

Key Concepts Tested
partition
Expert AnswerPremium
53 wordsInterview-ready
**Approaches:** (1) Delta/Iceberg—ACID, time travel, schema evolution. (2) Partition-based—daily partitions as versions; retain N days. (3) Snapshots—point-in-time views. (4) Git-like—DVC (ML), lakeFS (tables)....
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 Freecharge. The answer also includes follow-up discussion points that interviewers commonly explore.

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