AdvancedTechnical
5 min
Data Lake vs Data Warehouse
Data EngineeringAnalyticsArchitecture
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Interview Question
Compare data lakes and data warehouses in terms of architecture, use cases, and trade-offs.
Key Points to Cover
- Data lake: raw, schema-on-read, flexible, unstructured data
- Data warehouse: structured, schema-on-write, optimized for BI
- Trade-offs in cost, performance, and agility
- Modern trend: lakehouse combining both
Evaluation Rubric
Explains data lakes clearly30% weight
Explains data warehouses clearly30% weight
Compares trade-offs effectively20% weight
Mentions lakehouse evolution20% weight
Hints
- 💡Think AWS S3 vs Snowflake/BigQuery.
Potential Follow-up Questions
- ❓When to choose one over the other?
- ❓What’s schema drift?
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