# Databricks
source: https://docs.chalk.ai/docs/databricks

## Integrate with Databricks.

Chalk supports Databricks as a SQL Source.
You can configure the Databricks-specific options using the DatabricksSource.__init__ args.
Alternately, you can configure the source through your dashboard by navigating to Integrations > Add a data source and selecting Databricks.

### Integrations Setup

After configuring your Databricks integration in the dashboard, define your data sources in Python:

```
from chalk.sql import DatabricksSource

risk = DatabricksSource(name="RISK")
marketing = DatabricksSource(name="MARKETING")
```

Then reference them in SQL file resolvers using the name parameter. For example, to query from the RISK source:

```
-- type: online
-- resolves: User
-- source: RISK
SELECT id, credit_score FROM users
```

And to query from the MARKETING source:

```
-- type: online
-- resolves: User
-- source: MARKETING
SELECT id, email, campaign_status FROM users
```







