Getting Started
Welcome to Semantic Modeler, a cross-platform desktop application for building and managing semantic models for Microsoft Fabric, Azure Analysis Services, and SQL Server Analysis Services.
Whether you're a data engineer building models from scratch or an analyst exploring an existing model, this guide will walk you through everything you need to get up and running.
What You'll Learn
- System Requirements: Make sure your machine meets the requirements before installing.
- Installation: Download and install on Windows, macOS, or Linux.
- The Interface: Get familiar with the layout, panels, and where to find things.
After completing this guide, check out the Features section for deeper coverage of individual tools and capabilities.
User Guides
Once you're up and running, these guides walk you through the core workflows in Semantic Modeler:
- Building a Model: Create a project, import or build a model, and set up your schema.
- Connecting to Data Sources: Set up connections to SQL Server, Snowflake, Fabric, and more.
- Publishing a Model: Deploy your model to a server so it can be used in reports.
- Documenting Your Semantic Model: Add descriptions and documentation to your model's tables, columns, and measures.
- Join an Active Directory Domain: Join your machine to an AD domain for Kerberos authentication to on-premises SSAS.