> ## Documentation Index
> Fetch the complete documentation index at: https://unstructured-53-kapa-ai.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Databricks

> This page contains the information to store processed data to Databricks.

## Prerequisites

* Host URL for Databricks workspace

* Account ID for Databricks

* Username and Password for Databricks authentication (if applicable)

* Personal Access Token for Databricks

* Cluster ID

* Catalog, Schema, and Volume within Databricks

For more information, please refer to [Databricks documentation](https://docs.databricks.com/).

## Step-by-Step Guide

![Destination Connector Databricks](https://mintlify.s3-us-west-1.amazonaws.com/unstructured-53-kapa-ai/img/platform/Destination-Databricks.png)

1. **Access the Create Destination Page**. Navigate to the “Destinations” section within the platform’s side navigation menu and click on “New Destination” to initiate the setup of a new destination for your processed data.

2. **Select Destination Type**. Select **Databricks** destination connector from the `Type` dropdown menu.

3. **Configure Destination Details**

<Note>
  * `Name` (*required*): Assign a descriptive name to the new destination connector.

  * `Host` (*required*): Enter the Databricks workspace host URL.

  * `Account ID`: Specify the Databricks account ID.

  * `Username`: Provide the Databricks username.

  * `Password`: Enter the Databricks password.

  * `Token`: Input the Databricks personal access token.

  * `Cluster ID`: Indicate the Databricks cluster ID.

  * `Catalog` (*required*): Name of the catalog in the Databricks Unity Catalog service.

  * `Schema`: Specify the schema associated with the volume.

  * `Volume` (*required*): Name of the volume in the Unity Catalog.

  * `Volume Path`: Provide an optional path within the volume to which to write.

  * Check `Overwrite` if existing data should be overwritten.

  * `Encoding`: Select the encoding applied to the data when written to the volume.
</Note>

4. **Submit**. Review all the details entered to ensure accuracy. Click ‘Submit’ to finalize the creation of the Destination Connector. The newly completed Databricks connector will be listed on the Destinations dashboard.