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Home/Questions/SQL/Describe how you would implement Slowly Changing Dimensions (SCD) in an ETL workflow.

Describe how you would implement Slowly Changing Dimensions (SCD) in an ETL workflow.

SQLeasy0.5 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**Architectural Logic**: SCD implementation depends on type; MERGE is the workhorse for atomicity. **SCD1**: UPDATE dim SET col = new_val WHERE key = X. **SCD2**: INSERT new row with effective_from; UPDATE current row's effective_to; set current_flag. **SCD3**: Add prev_col; on...

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Asked at 1 company
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Key Concepts Tested
etl
Expert Answer
99 words

Architectural Logic: SCD implementation depends on type; MERGE is the workhorse for atomicity. SCD1: UPDATE dim SET col = new_val WHERE key = X. SCD2: INSERT new row with effective_from; UPDATE current row's effective_to; set current_flag. SCD3: Add prev_col; on change, shift current→prev. ETL Flow: (1) Extract changed records. (2) Lookup dimension. (3) Apply SCD logic (MERGE or INSERT/UPDATE). (4) Generate surrogate keys. Hash Comparison: For Type 2, hash attributes to detect change. Scalability: Use staging for change detection; batch MERGE. Cost: SCD2 increases row count; plan for history growth. Best Practice: Audit columns (created_at, updated_by); handle late-arriving dimensions.

⚡
Pro Tip

Red Flag: SCD2 without effective_to or current_flag—incomplete. Pro-Move: Reference hash-based change detection; MERGE for atomicity; late-arrival handling (e.g., overlap logic).

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