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About Tonic
Getting started with Tonic
Managing your Tonic account
Frequently Asked Questions
Setting up and analyzing your workspace
Managing workspaces
Using Privacy Hub to identify and protect sensitive data
Tracking changes to the workspace configuration
Using the Privacy Report to verify data protection
Managing access to workspaces
Configuring data generation details
Database View
Table View
Table modes
Generators
Subsetting data
Viewing and adding foreign keys
Running Tonic workflows
Running a data generation job
Viewing jobs and job details
Managing Tonic performance
Post-job scripts
Webhooks
Viewing and resolving schema changes
Installing and Administering Tonic
Tonic architecture
Deploying a self-hosted Tonic instance
Managing user access to Tonic
Tonic monitoring and logging
Setting environment variables
Updating Tonic
Connecting to your data
About data connectors
Data connector summary
Amazon EMR
Amazon Redshift
Databricks
System requirements
Tonic differences and limitations
Setting up your Databricks cluster
Configuring the workspace data connections
Google BigQuery
MongoDB
MySQL (also supports MariaDB)
Oracle
PostgreSQL
Snowflake on AWS
Spark SDK
Spark with Livy
SQL Server
Using the Tonic API
API documentation
Performing Tonic tasks with the Tonic API
Getting the workspace ID
Example script: Starting a data generation job
Example script: Polling for a job status and creating a Docker package
Other resources
Release notes
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Databricks
Databricks is a cloud-based platform for big data processing.
Tonic can run Spark jobs on Databricks on AWS and Azure Databricks.
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Configuring the workspace data connections
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System requirements
Last modified
2mo ago