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hooks

3 registry resources · 3 tutorials · roadmap: Data Quality, Agentic Data Engineering, Reliability

What this topic covers

DE//AGENT currently lists 3 resources under hooks: 3 tutorials. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

What you can learn here

Documented learning objectives across these resources:

1 more objectives live on the individual resource pages.

Where this fits in the learning roadmap

These resources map to stages: Data Quality (1), Agentic Data Engineering (1), Reliability (1). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Compare the registry's options

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.

ResourceTypeDifficultyVerificationScore
Gate promotion with a pre-deploy DQ checkTutorialintermediatecommunity34.15
Hooks — deterministic gates around an agentTutorialintermediatecommunity34.15
Production gotchas — silent failures and partial writesTutorialintermediatecommunity34.15

How scores are computed: source quality score.

Where to start

Highest composite score first:

  1. Gate promotion with a pre-deploy DQ check score 34.15 — intermediate
  2. Hooks — deterministic gates around an agent score 34.15 — intermediate
  3. Production gotchas — silent failures and partial writes score 34.15 — intermediate

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

Production use cases

  • Gate promotion with a pre-deploy DQ check — Wire the pre-deployment DQ check so a pipeline is only promoted when its quality suite passes against staged output. You attach the pre-deploy trigger, run dbt/GE tests on the stag… details
  • Hooks — deterministic gates around an agent — The model can be talked into anything; a hook is code on the tool path. Walk the four safety hooks every data repo should know — destructive-SQL guard, prod write confirmation, sec… details
  • Production gotchas — silent failures and partial writes — The failures that become pages are the ones nobody was watching: a regression hiding in growth, a cron change that silently widens the freshness SLA, and appends that duplicate on … details

Further study

Adjacent topics: tutorial (3 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.

Full resource list

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