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Home/Questions/System Design/Architecture/What's your approach to data versioning in a data lake?

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

System Design/Architecturehard0.3 min readPremium

**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)....

🤖 Analyze Your Answer
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

Why This Question Matters

This hard-level System Design/Architecture question appears frequently in data engineering interviews at companies like Freecharge. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition) will help you answer variations of this question confidently.

How to Approach This

This is a senior-level question that tests architectural thinking. Lead with the high-level design, then drill into specifics. Discuss trade-offs explicitly - there is rarely one correct answer. Show awareness of scale, fault tolerance, and operational complexity.

Expert Answer
53 words

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).

Architecture Diagram:

[Raw Ingestion] --> [Bronze/Delta]
| |
v v
[S3 Versioning] [Time Travel API]
| |
+--------+-----------+
v
[Silver/Gold]
|
[Schema Evolution]
[Compaction/VACUUM]

Production: Delta/Iceberg for mutable; retention; compaction.

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According to DataEngPrep.tech, this is one of the most frequently asked System Design/Architecture 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.

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