Databricks Integration Guides
Help articles related to integrating with Databricks. The Databricks connector is two-way: read data in through an OpenSharing share or a SQL statement on a SQL warehouse, transform it in Nexadata, and write the results back to a Databricks table.
Articles
Section titled “Articles”- Setting up a Databricks Connection — Choose an authentication type, prepare the access your Databricks admin needs to grant, and create the connection in Nexadata.
- Using a Databricks Connection — Create datasets from a Databricks share or a SQL statement, and write Workflow outputs back to Databricks tables with Append or Upsert.
- Use Case: Round Trip Between Databricks and Nexadata — Read a planning fact table from Databricks, run it through a Workflow, write it back, and confirm the totals tie to the cent.
- Troubleshooting the Databricks Connector — Resolve common Databricks connection, permission, dataset, and write-back errors.