> ## Documentation Index
> Fetch the complete documentation index at: https://docs.maia.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Connect your Databricks account to Maia via Partner Connect

export const designer = "Designer";

export const maia = "Maia";

This guide will help you connect your Databricks workspace to [{maia}](/docs/guides/maia-overview) using [Databricks Partner Connect](https://www.databricks.com/partnerconnect). Once connected, you can design and run data pipelines in {maia} that interact with your Databricks workspace.

***

## Start in Databricks Partner Connect

This section describes the steps you need to take in your Databricks workspace to connect to {maia}.

### Choose Maia listing

1. Log in to your Databricks workspace.
2. In the left-hand navigation pane, click **Partner Connect**.
3. Search for "Matillion" and select the "{maia}" listing.
4. Click **Connect**.

### Select a compute resource

You will need to choose a compute resource that {maia} can use to execute your data pipelines. This compute resource can be an existing Databricks cluster or a new cluster.

### Select a Unity Catalog and schema

You will need to select a [Unity Catalog](https://docs.databricks.com/aws/en/catalogs/) and [schema](https://docs.databricks.com/aws/en/schemas/) that {maia} can use to create and manage your data. If you do not have a Unity Catalog or schema, you will need to create one.

### Review and confirm setup

At this stage, review your selections and accept the terms and conditions. Then, click **Connect** to launch {maia}.

***

## Complete the setup in Maia

This section describes the steps you need to take in {maia} to complete the connection to your Databricks workspace.

### Register or log in

* If you're new to Matillion, read [Registration](/docs/administration/registration) to get started with a new account.
* For existing users, log in to [{maia}](https://app.matillion.com/hub/) and select your account.

### Resource provisioning

If you're signing up for the first time, a short introductory video will play, giving you an overview of {maia}. During this time, Matillion is creating the necessary infrastructure for your account and securely connecting to your Databricks workspace. This will take a couple of minutes.

***

## Get started with Maia

Once setup is finished, your page will refresh and you will see [{designer}](/docs/guides/designer-overview), {maia}'s UI for building data pipelines. Read [{designer} UI basics](/docs/guides/designer-ui-basics) to learn more about {designer} and its capabilities.

You will see a default project with the Databricks logo in the top left of the {designer} project bar, confirming you're connected to your Databricks workspace. The project will precede a `/` and then the name of the environment, which is using your chosen Unity Catalog and schema.

Click **Schemas** in the project bar to open the **Schemas** panel. If this panel displays a list of existing Databricks schemas, your connection is working correctly. If the panel is empty, try clicking the refresh icon to reload the list of schemas.

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## Next steps

You're now ready to build your first [data pipeline](/docs/guides/pipelines) in {maia}.

* Use orchestration pipelines to move data into Databricks from your source databases.
* Use transformation pipelines to shape, clean, and prepare data that is already in Databricks.

<Note>
  Many components let you [sample the data output](/docs/guides/sampling-output) from that component, giving you the option to observe the state of data at various stages in your pipeline. Sampling also helps you to confirm that a component is set up correctly before you use it in a production pipeline.
</Note>

***

## Video guides

Our [YouTube channel](https://www.youtube.com/@Matillion) has a range of video guides to help you get started with {maia}. Use our [How-to video guides](/docs/videos/how-to-videos) to build your {maia} skills.