Data Lake Architecture for Data Engineering Interviews

Short summary

Data lakes use medallion architecture (bronze→silver→gold zones) for progressive refinement, with ingestion, metadata catalogs, and compute on object storage as key primitives. Interview answers should address grain clarity, idempotency, lineage tracking, and aggregate reconciliation—not vendor names. Open table formats like Iceberg, Delta, and Hudi enable lakehouse patterns that bridge traditional lakes and warehouses.

• •Medallion zones (bronze/silver/gold) handle progressive data refinement with different SLAs and permissions per layer
• •Interview answers should cover grain, idempotency, lineage, and reconciliation—fundamentals over vendor names
• •Open table formats (Iceberg, Delta, Hudi) enable ACID and time travel on object storage, bridging lake and warehouse patterns

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