**Architectural Logic**: SCD tracks dimension attribute changes; type choice affects history and storage. **Type 1**: Overwrite; no history. **Type 2**: New row; effective dates; current flag; full history. **Type 3**: Previous value column; limited history. **Type 4**: History...
This easy-level SQL question appears frequently in data engineering interviews at companies like JIO. While less common, it tests deeper understanding that distinguishes strong candidates.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
Architectural Logic: SCD tracks dimension attribute changes; type choice affects history and storage. Type 1: Overwrite; no history. Type 2: New row; effective dates; current flag; full history. Type 3: Previous value column; limited history. Type 4: History table. Type 6: Hybrid (1+2+3). Most Common: Type 2 for customer, product dimensions. Implementation: MERGE or INSERT/UPDATE; change detection via hash. Scalability: Type 2 row growth; surrogate keys. Best Practice: Surrogate keys; effective_from, effective_to; current_flag; handle late arrivals; choose type by business requirement.
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Analyze My Answer β FreeAccording to DataEngPrep.tech, this is one of the most frequently asked SQL 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.