incremental

DE//AGENT currently lists 4 resources under incremental: 2 tutorials, 1 skill, 1 pattern. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

Documented learning objectives across these resources:

• State a model's grain and match it to its unique key test — via dbt Model Review
• Choose table vs incremental vs view deliberately — via dbt Model Review
• Handle late data in an incremental model — via dbt Model Review
• Bound incremental work with a watermark and a lookback window — via Incremental processing with a watermark
• Write incremental output idempotently so a re-run is safe — via Incremental processing with a watermark
• Absorb late-arriving files without re-running history — via Incremental processing with a watermark
• State a model's grain in one sentence and match it to the unique test — via Review a dbt model PR before merge
• Justify table vs incremental vs view for a given source — via Review a dbt model PR before merge

1 more objectives live on the individual resource pages.

These resources map to stages: Data Processing (2), Warehousing (2). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.

How scores are computed: source quality score.

Highest composite score first:

1. dbt Model Review score 40.5 — intermediate
2. Incremental Batch with a Watermark score 37.25 — intermediate
3. Incremental processing with a watermark score 34.15 — intermediate

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

Security-flagged entries: dbt Model Review (1 flag). Flags mean the record declares capabilities like credential use or write access — read the security posture on each page before connecting.

Known limits: Little history,Frequently mutating data without a reliable change marker (use CDC) (Incremental Batch with a Watermark)

• dbt Model Review — Checks a dbt model's grain statement, ref/dependency hygiene, incremental strategy and late-arriving-data handling, then proposes a test set. details
• Incremental processing with a watermark — Full reloads stop scaling once a table grows past millions of rows. Process a bounded window instead: a watermark ends it, a lookback absorbs late files, and an idempotent write (p… details
• Review a dbt model PR before merge — Take a pull request that adds or changes a dbt model and walk the reviewer's pass: read the diff in context, state the model's grain and check it against the unique key test, choos… details

Real install commands from the registry — read the source before running any of them:

npx de-agent-platform add dbt-model-review

dbt Model Review — review first

Adjacent topics: tutorial (2 shared), review (2 shared), batch (2 shared), grain (2 shared), watermark (2 shared).

Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.