Build dbt incremental models that stay correct

domain: dbt · 4 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗

Steps

  1. materialized='incremental' with is_incremental() filter on a watermark column (updated_at > max in this table)
  2. Set unique_key for merge/upsert semantics on late-arriving updates
  3. Add a lookback window (updated_at > max - interval) for clock skew/late data
  4. Schedule periodic --full-refresh to heal drift; test with dbt build

Known gotchas

Related routes

Enforce a dbt model contract on an incremental model without breaking on_schema_change
data-engineering · 5 steps · unrated
Implement dbt microbatch incremental models for event-stream tables with sub-daily refresh cadence
docs.getdbt.com · 6 steps · unrated
Choose and configure dbt incremental strategies: merge, insert_overwrite, and microbatch for different workloads
docs.getdbt.com · 6 steps · unrated

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