1. Click +Add under integrations

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Click the add button and select Databricks

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2. Input a Connection Name and your Databricks Workspace URL and HTTP Path

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Input a name for your connection. Then In another tab, go to your account in Databricks and to obtain your Workspace URL and HTTP Path.

To find these, in Databricks navigate to SQL Warehouses, select the warehouse you want to connect to DataLab, and click on the Connection Details tab.

Copy Server hostname to your clipboard and paste into the Workspace URL field in DataLab. Then copy your HTTP Path for the warehouse and past into the HTTP Path field in DataLab.

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3. Create a Service Principal User

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In another tab, go to your account in Databricks and create a Service Principal User. To do this, click on your user name in the upper right and select Settings.

Select Identity and Access and then click Manage under Service principals. Select Add service principal and click Add new in the modal. Assign your service principal a name and click Add.

You now have a new service principal user. Click into the new service principal to access connection details and to create a secret.

Click on the Secrets tab and then Generate secret. Assign a lifetime value for the secret and click Generate.

Copy the secret to your clipboard, navigate back over to DataLab and paste the value into the Client Secret field in the Databricks integration modal. Now do the same for the Client ID.

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4. Grant Permissions to your Service Principal User

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For this next step you can connect to Databricks using your preferred SQL client or use the SQL Editor within databricks.

Run the following SQL commands to grant your service principal user the necessary permissions. Replace <catalog_name> , <schema_name> , and <applicaton_id> with your actual values:

GRANT USE CATALOG ON CATALOG <catalog_name> TO `<applicaton_id>`;
GRANT USE SCHEMA ON SCHEMA <catalog_name>.<schema_name> TO `<applicaton_id>`;
GRANT SELECT ON SCHEMA <catalog_name>.<schema_name> TO `<applicaton_id>`;
GRANT CREATE TABLE ON SCHEMA <catalog_name>.<schema_name> TO `<applicaton_id>`;

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5. Test and Save your connection

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That’s it. Now you can create Data Products within Alkemi using your connect Databricks warehouse!

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Next Steps

Creating a Data Product