> For the complete documentation index, see [llms.txt](https://v2.dataos.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://v2.dataos.info/concepts/resources/depot/consume/vulcan.md).

# Data modeling and transformation

Use [Vulcan](https://tmdc-io.github.io/vulcan-book/guides/get-started/docker/) when you need to create a semantic model and perform transformations on top of datasets available through Depot.

## How to consume a Depot in Vulcan?

1. Ensure the Depot is created and the Vulcan project has access to the source.
2. Identify the source datasets to model using their Depot UDL paths.
3. Register or map those source datasets in your Vulcan project as model inputs.
4. Build transformation and semantic models on top of those inputs.

## Concrete example

In Vulcan, Depot usage is declared in project configuration and Resource deployment.

### 1) `domain.yaml` gateway uses a Depot address

```yaml
gateways:
  default:
    connection:
      type: depot
      address: dataos://snowflakevulcan2
```

### 2) `domain-resource.yaml` grants Depot access to the run

```yaml
spec:
  depots:
    - dataos://snowflakevulcan2?purpose=rw
```

Vulcan models can now run on data made available through that Depot connection.

## Typical use cases

* Building semantic models for governed analytics.
* Defining reusable metrics and dimensions for BI consumption.
* Powering consistent reporting across teams.


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