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

Workspace details and tools

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