Tabular Modeling (SQL Server Analysis Services)

The tabular modeling experience in SQL Server Analysis Services (SSAS) provides a modern, memory‑optimized analytics engine that enables rapid development of analytical solutions using familiar Excel‑like formulas (DAX) and industry‑standard connectors.

Key Concepts

Tabular Model: A collection of tables, relationships, measures, and hierarchies stored in the VertiPaq engine.
Data Sources: Relational databases, Azure services, and other supported connectors.
DAX (Data Analysis Expressions): Formula language for creating calculations and measures.
Partitions & Processing: Fine‑grained control over data refresh and storage.

Creating a Simple Tabular Model

Below is a step‑by‑step example of creating a basic sales model using SQL Server Data Tools (SSDT).

1. Define the Data Source

Provider=SQLNCLI11;Data Source=MyServer;Initial Catalog=AdventureWorksDW2019;Integrated Security=SSPI;

2. Import Tables

Select the tables you want to include. For this example we use DimProduct, DimDate, and FactInternetSales.

3. Create Relationships

SSDT automatically detects relationships based on foreign keys. Verify them in the diagram view.

4. Add Measures with DAX

Total Sales = SUM(FactInternetSales[SalesAmount])
Sales YoY = CALCULATE([Total Sales],
          SAMEPERIODLASTYEAR(DimDate[Date]))
Top 5 Products = TOPN(5, 
          VALUES(DimProduct[ProductName]), 
          [Total Sales])

5. Deploy the Model

Set the target SSAS server in the project properties and click Deploy. The model will be processed automatically.

Note: For large datasets, consider using incremental processing and partitioning to improve refresh times.

Advanced Topics

Explore further capabilities such as row‑level security, calculation groups, and composite models.