Prompt

Do I need to deduplicate records before loading to the warehouse?

Technology / Data Infrastructure1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

Usually, yes — but it depends on your warehouse design and loading pattern.

When you should deduplicate before loading

You should deduplicate upstream if:

  • The warehouse tables are meant to represent unique business entities or one row per key
  • Your warehouse/load process is append-only
  • Downstream users expect clean, analytics-ready data
  • Duplicates would create problems in joins, aggregates, or BI dashboards

When you might not need to deduplicate first

You may skip pre-deduplication if:

  • You intentionally store raw, immutable landing data
  • You use the warehouse to keep history/events, where repeated records are valid
  • Your ELT process handles deduplication later with:
    • MERGE
    • ROW_NUMBER() OVER (...)
    • unique constraints / surrogate keys
    • dbt models or similar transformations

Common practice

A common pattern is:

  1. Load raw data as-is into a staging/landing layer
  2. Deduplicate and transform into curated warehouse tables
  3. Keep both:
    • raw data for audit/replay
    • clean data for reporting

Important caveat

If you don’t deduplicate anywhere, duplicate rows can:

  • inflate counts and revenue
  • break slowly changing dimension logic
  • cause duplicate dimension/member records
  • make incremental loads messy

If you want, I can help you decide based on your specific source, warehouse, and load type.

Brands

Observation history

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