Models
The Models feature in AnalyticsCreator allows you to define and manage semantic model definitions used for organizing Data Mart objects. Each model represents a logical grouping of tables intended for analytical or reporting purposes.
Function
Models serve as high-level containers representing business subject areas. Although the detailed configuration of facts, dimensions, and semantic structures occurs elsewhere in the project, the Models area provides the list of available models and basic metadata such as name and description.
Access
Models are managed under Data Mart → Models. The interface consists of a searchable list view and an editor for editing model metadata.
Properties – List View
| ID | Property | Description |
|---|---|---|
| 1 | Search by name | Filters the list using the model name criteria. |
| 2 | Search by description | Filters models based on description text. |
Screenshot: Models List View
Properties – Edit View
| ID | Property | Description |
|---|---|---|
| 1 | Name | Defines the model name to be displayed in Data Mart and used during deployment. |
| 2 | Description | Optional metadata describing the purpose or business context of the model. |
| 3 | Cancel | Closes the editor without saving. |
| 4 | Save | Stores the updated model definition in metadata. |
Screenshot: Model Edit View
Behavior
- Each model acts as a container for a business-specific semantic definition.
- The model name and description are used throughout the deployment process.
- Models appear in the Data Mart navigation tree and can be selected for further processing steps.
Notes
- Keep names concise and meaningful to business users.
- Descriptions help clarify ownership and business purpose.
- The Models screen provides metadata only; detailed semantic configuration is performed in dedicated dialogs elsewhere.
