tom-operations

You can programmatically modify semantic models in Microsoft Fabric using a Python Tabular Object Model (TOM) wrapper. It allows you to read, update, and add metadata such as tables, columns, measures, and relationships directly.

Automating measure description updates across an Analysis Services model is achieved by connecting via the Python TOM wrapper. This streamlines repetitive metadata management tasks like updating format strings or adding calculated columns.

Yes, you can use service principal authentication to access Azure Analysis Services metadata. The TOM wrapper supports both read-only and read-write access modes for securely managing your semantic models.

Yes, the Python Tabular Object Model fully supports adding new relationships to semantic models. It facilitates comprehensive metadata manipulation, allowing you to read, modify, and add tables, columns, and measures.

To update a measure in a semantic model, connect to the target dataset within your workspace using the Python TOM wrapper. You can then locate the specific measure and programmatically apply the required description or format string updates.