---
title: Databricks
description: Learn how to connect Databricks in Infoveave to access unified data lakehouse data for advanced analytics and machine learning insights.
---

import { Aside, Steps } from '@astrojs/starlight/components';

# Databricks

Databricks connection helps you connect to a **Databricks SQL warehouse** and run queries directly from Infoveave.



## Adding a Databricks Connection

To create a new Databricks connection:
<Steps>
1. Go to the **Database** section.
2. Select **Databricks** from the available connectors.
3. Fill in the required connection details in the **New Databricks Connection** form.
</Steps>


## Connection Parameters

When setting up a Databricks connection, you need to provide the following details:

| Field      | Description |
|------------|-------------|
| **Name**   | A unique name to identify your connection. |
| **Port**   | Port number for Databricks (default is `443`). |
| **Server** | The Databricks SQL warehouse server endpoint. |
| **Username** | Your Databricks username. |
| **Password** | The corresponding password or personal access token. |
| **Database** | The Databricks database you want to connect to. |
| **Schema** | The schema inside the database to be used (optional). |
| **Fetch from external links** | Toggle option to enable fetching data from external links (optional). |



## Steps to Validate and Save
<Steps>
1. After filling in the details, click **Validate** to verify the connection.
2. If validation succeeds, click **Save** to store the connection.
3. You can now use Databricks as a datasource in your Infoveave workspace.
</Steps>


## Example Use Case

With a Databricks connection configured, you can:

- Run queries on large-scale data stored in Databricks.  
- Use Databricks SQL warehouse for fast analytics and data exploration.  
- Integrate Databricks datasets into Infoveave Infoboards for dashboards, reports, and insights.