https://github.com/scalefreecom/datavault4dbt-snowflake-demo

A demo project for datavault4dbt on Snowflake.
https://github.com/scalefreecom/datavault4dbt-snowflake-demo

Last synced: over 1 year ago
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A demo project for datavault4dbt on Snowflake.

• Host: GitHub
• URL: https://github.com/scalefreecom/datavault4dbt-snowflake-demo
• Owner: ScalefreeCOM
• License: apache-2.0
• Created: 2022-10-26T14:42:14.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2025-03-26T16:26:19.000Z (over 1 year ago)
• Last Synced: 2025-03-27T00:17:30.942Z (over 1 year ago)
• Size: 79.1 KB
• Stars: 3
• Watchers: 1
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# datavault4dbt Demo on Snowflake!

This is a demo dbt project that uses the TPCH dataset to build a Data Vault with datavault4dbt on Snowflake. 

[](https://www.datavault4dbt.com/)

## The Data

The TPCH dataset includes a total of 8 source objects. These are: 

- Customer

- Lineitem

- Nation

- Order

- Part

- Partsupp

- Region

- Supplier

## The Data Vault Model

![datavault4dbt-snowflake-sample-project](https://user-images.githubusercontent.com/81677440/234200376-2245ddd9-3676-43a9-814d-98a3da8cbfaf.png)

This embedded screenshot is based on a publicly available [dbdocs Documentation](https://dbdocs.io/tkirschke/datavault4dbt-snowflake-sample-project?schema=core_core&view=relationships&table=customer_h) and has been created with the open source tool [dbt dbml erd](https://github.com/ScalefreeCOM/dbt_dbml_erd). 

Check out explanations of the Data Vault model in the wiki!

## Usage

1. Clone this repository to your local machine.

2. Create and activate a new Python Virtual Environment.

3. Install dbt for Snowflake with `pip install dbt-snowflake`.

4. If not there already, create a new file called `profiles.yml` within your local user account folder, e.g. `C:\Users\username\.dbt\profiles.yml`

5. Add a new profile by adding this block of code to your `profiles.yml`:

    ``` 

    datavault4dbt_snowflake_demo:

    outputs:

        dev:

             

    target: dev

    ``` 

    To fill out the placeholder, check the [official dbt documentation](https://docs.getdbt.com/reference/warehouse-setups/snowflake-setup#authentication-methods) to find the right authentication method to connect to your Snowflake instance. 

6. Execute `dbt debug` and ensure that all checks are passed to verify that the connection is established correctly. 

7. Execute `dbt build` and watch the entire Data Vault model coming to life within your own database!

Sidenote: On execution dbt will attempt to create multiple schemas in your target database, as defined in the `dbt_project.yml`. 

If this is not desired you can safely remove the `models:`-block, found at the end of the `dbt_project.yml`.