Managing workspaces

A Tonic workspace provides a context within which to either:
Configure and generate transformed data
Configure, train, and export data models
For data generation, a workspace represents a path between the source and transformed output data. For example, postgres-prod-copy to postgres-staging. A data generation workspace includes:
Where to find the source data to transform during data generation.
Where to write the transformed data.
The rules for the transformation.
For data science modeling, a workspace is used to configure and train data models based on source data. Each data science modeling workspace includes:
Where to find the source data to base the models on.
Model configurations.
Manage workspaces
Workspaces view
View the list of workspaces that you have access to.
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Create, edit, and delete workspaces
Add and remove workspaces, or update a workspace configuration.
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Export and import workspace configuration
Save an existing configuration to apply to a workspace.
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Workspace details and tools
Workspace settings
Includes the name, description, and data connections.
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Workspace management view
Provides access to workspace configuration and generation tools.
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Workspace inheritance
Create child workspaces that inherit source data and configuration from their parent workspace.
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Frequently Asked Questions

Creating, editing, or deleting a workspace

Last modified 25d ago