Manage Data Transformations with dbt in Amazon Redshift

Part 8: Hands-on Tutorials · Hands-on Tutorials

Read the full tutorial: Manage Data Transformations with dbt in Amazon Redshift ↗

Link verified 2026-08-23.

This tutorial sets up dbt against Redshift, modeling transformations as version-controlled SQL with tests, documentation, and a DAG of dependent models instead of a tangle of stored procedures.

It’s the practical walkthrough behind The dbt Paradigm: Transformation as Code, Data Contracts & Idempotent Reprocessing — the same warehouse a legacy ETL job used to load nightly now gets its transform logic reviewed, tested, and re-run idempotently like application code.

flowchart LR
    A[Raw tables in Redshift] --> B[dbt models - staging]
    B --> C[dbt models - intermediate]
    C --> D[dbt models - marts]
    D --> E[BI / analytics consumers]
    F[dbt tests + docs] -.-> B
    F -.-> C
    F -.-> D

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