Databricks is a cloud-based platform for big data processing.
Tonic Structural can run Spark jobs on Databricks on AWS and Azure Databricks.
Structural process for Databricks How Structural generates output from Databricks.
System requirements Supported versions and providers.
Structural differences and limitations Features that are unavailable or work differently with the Databricks connector.
Required Databricks configuration Required configuration for Databricks before you create a Structural workspace.
Configure workspace data connections Connecting to the source and destination for a Databricks workspace.
Databricks connection troubleshooting Options for self-hosted instances to troubleshoot connection failures.
Last updated 5 months ago
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