Are you an LLM? Read llms.txt for a summary of the docs, or llms-full.txt for the full context.
Skip to content

Connecting a Databricks Source

A Databricks connector imports one shared table using OpenSharing. Your Databricks administrator shares the data, and the Galdera team connects that share to your workspace. Creating a connector in Galdera does not create the share.

Before you start

Ask your Databricks administrator and Galdera contact to arrange the share and recipient details for your workspace. Include the schema and tables you want to import. You need a table with a date column and numeric values to forecast.

If your workspace already has a share connected, you can use it for another table without repeating the external setup.

Set up the connector

  1. Open Connectors and choose Databricks under Data Warehouses.
  2. Connect: click Check access. Continue when the check succeeds. If the share is not ready, ask your administrator and Galdera contact to finish the setup. You can leave and return later.
  3. Choose data: select a Schema, Table, and Start date for the history to import. The import ends at today. Check the sample preview to confirm you have the right table.
  4. Review columns: confirm the date/index column, choose at least one target measure, and set the data frequency. Review inferred roles and any format questions before continuing.
  5. Import: review the table, history, frequency, and measures, then click Start import. Galdera imports the data and applies your column choices automatically.

Return to an unfinished or completed connector

Setup choices are saved as you go. An unfinished connector resumes at the first incomplete step. An import already running shows its progress; you do not need to start it again.

If an import finds no rows, widen the start date and try again. If applying the column mapping fails after the data arrives, Retry applies the mapping without reading the shared table again.

Once setup finishes, open the connector to see its status and run history. Updates are manual: use Sync now for fresh data. To import another table, create another Databricks connector using the same workspace share.