Versionsbezug: Snowflake-Dienst / dbt v2 und separate Python-v1-Linie · 2026-10-26

• Einrichtungsreferenz, keine Prüfungsversionsvorgabe. Snowflake-Accountstand, Edition und Region tatsächlich aufnehmen. Bei dbt installierte Pakete/Adapter, Engine beziehungsweise Cloud-Track und Tarif separat bestätigen; die Vorlage ist kein ausgeführter Build.

  Snowflake warehouse considerations ↗ dbt installation and version selector ↗ Referenz geprüft: 2026-10-26

Progress and matching resources in Knowledge Hub

Platform operations and analytics engineering · Five chapters; estimate execution from approved scope

Set up Snowflake & dbt

From customer mandate through Snowflake roles and dbt runtime to evidenced handover.

Start as sprint plan Start tour Opens the Sprint Planner with a matching template.

Related roles

• Data Architect role
• Data Custodian role
• Data Owner role

1. Set up Snowflake & dbt: access and installation routes

   Choose trial or company access, understand Snowflake terms and select local or hosted dbt.

   • Set up Snowflake & dbt: access and installation routes story

2. Prepare Snowflake: roles, schemas and a synthetic pilot

   Prepare compute, isolated targets and a limited development role with allowed and forbidden checks.

   • Prepare Snowflake: roles, schemas and a synthetic pilot story

3. Set up dbt locally: separate v2 and Python v1

   Isolated runtime, version-specific installation, SSO profile and a complete synthetic model with tests.

   • Set up dbt locally: separate v2 and Python v1 story

4. Install dbt on Windows and connect to Snowflake

   Set up a local dbt runtime. Snowflake remains a cloud service, not software installed on this computer. This package route follows the current dbt v2 guide; existing Python v1 projects are a separate route.

   • Install dbt on Windows and connect to Snowflake story

5. Install dbt on macOS and connect to Snowflake

   Set up a local dbt runtime. Snowflake remains a cloud service, not software installed on this computer. This package route follows the current dbt v2 guide; existing Python v1 projects are a separate route.

   • Install dbt on macOS and connect to Snowflake story

6. Install dbt on Linux and connect to Snowflake

   Set up a local dbt runtime. Snowflake remains a cloud service, not software installed on this computer. This package route follows the current dbt v2 guide; existing Python v1 projects are a separate route.

   • Install dbt on Linux and connect to Snowflake story

7. Set up dbt Cloud: Git, connections, DEV, CI and deployment

   Configure development and service jobs using separate identities, targets and release boundaries.

   • Set up dbt Cloud: Git, connections, DEV, CI and deployment story

8. Snowflake & dbt: verify setup and the first test run

   Check connectivity, model, deliberate failure and successful rerun.

   • Snowflake & dbt: verify setup and the first test run story