Managing workspaces

A Tonic Structural 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 mode, a workspace is used to configure and train data models based on source data. Each data science model 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.

Create, edit, and delete workspaces

Add and remove workspaces, or update a workspace configuration.

Export and import workspace configuration

Save an existing configuration to apply to a workspace.

Workspace details and tools

Workspace settings

Includes the name, description, and data connections.

Workspace management view

Provides access to workspace configuration and generation tools.

Workspace inheritance

Create child workspaces that inherit source data and configuration from their parent workspace.