dbt Model Generator

Name: OpenModels
Creator: OpenModels
License: https://github.com/openmodelsrun/openmodels

MitteldataMindestens 16K Kontext

Generates and refactors dbt models for analytics engineering. Writes staging, intermediate, and mart models following layered conventions, adds schema.yml tests and descriptions, applies incremental and materialization strategies, and structures sources and refs correctly. Produces SQL plus YAML that fits dbt best practices and is ready to run.

dbt analytics-engineering sql data-modeling transformation

Anwendungsfälle

Scaffolding staging, intermediate, and mart models
Adding schema.yml tests and column descriptions
Converting ad-hoc SQL into layered dbt models
Applying incremental materialization to large tables

Beispiel-Prompt

Generate dbt models for an orders pipeline.

Sources: raw.orders, raw.customers (Snowflake)
Goal: a fct_orders mart with customer attributes and daily order metrics.

Deliver:
1. stg_orders and stg_customers staging models with light cleaning
2. An int_ model joining them if needed
3. fct_orders mart (consider incremental materialization; explain the choice)
4. schema.yml with not_null/unique/relationships tests and descriptions
Follow standard dbt layering and use ref()/source() correctly.

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Kompatible Werkzeuge

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Modalitäten

Eingabe: text, code

→

Ausgabe: text, code