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Tonic Structural User Guide
About Tonic Structural
Logging into Structural for the first time
Getting started with the Structural free trial
Managing your user account
Frequently Asked Questions
Tutorial videos
Creating and managing workspaces
Configuring data generation
Running data generation
Installing and Administering Structural
Connecting to your data
Using the Structural API

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Connecting to your data

Databricks

Last updated 5 months ago

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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 data generation works with Databricks.

System requirements

Supported versions and providers for Databricks.

Structural differences and limitations

Features that are unavailable or work differently for the Databricks data connector.

Required Databricks configuration

Required configuration for Databricks before you create a Databricks workspace.

Configure workspace data connections

Data connection settings for Databricks workspaces.