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Vibedata

Re-engineer something you own

Convert a materialized view into a dbt model and preserve its required refresh semantics

  • When a materialized view refreshes on a schedule nobody wrote down and downstream reports assume that cadence.
  • When a materialized view has become the source of truth for a table dbt does not know about.

Convert a materialized view into a dbt model that preserves the refresh cadence and staleness behaviour its consumers already depend on. Covers the conversion and the refresh-semantics proof, not redesigning what the view computes.

Area
Transformation
Runs on
  • Microsoft Fabric Lakehouse
  • Microsoft Fabric Warehouse
  • MotherDuck
  • DuckDB
Built with
  • dbt
Readiness
SupportedEverything this Recipe composes runs today, without a case that proves this exact shape.

Sample This Recipe has not been materialized in the Cookbook repository yet. Its trigger, description, prompt, agent guidance and acceptance conditions, and the explanation below, are prototype drafts. Its name, job, area and readiness come from the reconciled Cookbook seed snapshot. Readiness is a separate question from this one: it says whether the capability exists, not whether the writing has been reviewed.

Use this Recipe

Use the VibeData Recipe `materialized-view-to-dbt` at https://getvibedata.ai/cookbook/materialized-view-to-dbt Read the Recipe and execute it in the context of the current Intent.

Recipe id materialized-view-to-dbt · Not yet materialized in the Cookbook repository, so the pointer addresses this page.

Verified by

What has to be observably true before this Recipe is finished.

  • the new model matches the view's output on the agreed comparison window
  • the model refreshes at least as often as the view's documented cadence
  • downstream queries see no gap in data availability during cutover
  • the view is not dropped in the same change that introduces the model
Recipe promptThe task specification the agent reads. Reference only — it is not what you copy.
Deliver: Convert a materialized view into a dbt model and preserve its required refresh semantics.

Convert a materialized view into a dbt model that preserves the refresh cadence and staleness behaviour its consumers already depend on. Covers the conversion and the refresh-semantics proof, not redesigning what the view computes.

Execute inside the current Intent. Its Domain, repository, platform, environment and attached sources are the context for this work — read them rather than asking for them.

The work is done when:
- the new model matches the view's output on the agreed comparison window
- the model refreshes at least as often as the view's documented cadence
- downstream queries see no gap in data availability during cutover
- the view is not dropped in the same change that introduces the model

Report the evidence for each condition above with the result. A condition you cannot meet is something to say, not something to work around.
Agent guidanceHow the agent approaches the work, and what it will not do.

Write down the behaviour that has to stay constant before you touch the current form, and get that agreed. Rebuild in an isolated copy, then reconcile old against new at the grain the consumers read. The reconciliation is the deliverable; the diff is not.

Composes

  • dbt model authoring and layering
  • dbt in the project
  • isolated-copy execution and gate verification

Asks first

Semantic decisions the Intent cannot supply. Never context Studio already holds.

  • which Fabric target this work lands on, when the Domain carries both a Lakehouse and a Warehouse

Guardrails

  • Build in an isolated copy. Production is read, never written.
  • Do not edit the object being held constant. Parity that required a change to the original is not parity.

What you need

  • Microsoft Fabric Lakehouse, Microsoft Fabric Warehouse, MotherDuck, or DuckDB.
  • A dbt project you can build, and read access to the models it starts from.
  • dbt in the project, or the intent to add it.

How it goes

  1. Name the thing you own, and what about its behaviour has to stay the same.
  2. Let it read the current form and write down the behaviour it is holding constant.
  3. Review the design before any SQL is written. Grain first.
  4. Let it rebuild in an isolated copy of your estate. Production is untouched throughout.
  5. Reconcile the new form against the old one, row by row.
  6. Read the acceptance conditions. They are the contract; the diff is not.

What you end up with

The deliverable, in your own repository, as transformation work a reviewer who knows the project reads as native to it. Alongside it, the evidence for every one of the acceptance conditions above — which is the part that is still there in three weeks when somebody asks.

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