Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Important
This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Azure Databricks previews.
Create an Aha! connection in Catalog Explorer to store authentication credentials for Lakeflow Connect ingestion. Any user with the USE CONNECTION privilege on the connection can then create Aha! ingestion pipelines without needing the credentials directly.
Alternatively, admin users can create a connection and a pipeline at the same time in the data ingestion UI. See Ingest data from Aha!.
For privilege requirements, see Connect to managed ingestion sources.
Prerequisites
Complete the source setup. Use the authentication details you obtain to create the connection.
Create a connection
- In the Azure Databricks workspace, click
Catalog > Create > Create a connection.
- On the Connection basics page of the Set up connection wizard, specify a Connection name.
- In the Connection type drop-down menu, select Aha!.
- (Optional) Add a comment.
- Click Next.
- On the Authentication page, enter the following credentials from Configure authentication to Aha!:
- Subdomain: The subdomain of your Aha! account. For example, if your Aha! URL is https://databricks.aha.io, the subdomain is "databricks".
- API Key: API key to authenticate to your Aha! account. Generate one in your Aha! account in Settings > Personal > Developer > API keys.
- Click Create connection.