Tabular Modeling in SQL Server Analysis Services
Discover the power of in-memory tabular models for building high-performance business intelligence solutions. Tabular models offer a modern, intuitive approach to data analysis and reporting.
What is Tabular Modeling?
Tabular models in SQL Server Analysis Services (SSAS) represent data in a relational, in-memory database structure. Unlike multidimensional models, they use a columnar database engine and a relational schema, making them easier to understand and develop for many users familiar with relational concepts.
Key Features and Benefits
- In-Memory Performance: Leverages VertiPaq engine for lightning-fast query performance.
- Intuitive Design: Uses familiar tables, columns, and relationships.
- DAX Language: Powerful Data Analysis Expressions for complex calculations.
- Integration: Seamless integration with Power BI, Excel, and other BI tools.
- Rapid Development: Quicker development cycles compared to multidimensional models.
DAX: The Power Behind Tabular Models
Data Analysis Expressions (DAX) is a formula language used in tabular models for defining calculations, measures, calculated columns, and row-level security. It's designed for analytical queries and is essential for unlocking the full potential of your data.
Example DAX Measure:
Development Tools
Tabular models are primarily developed using Visual Studio with the SQL Server Data Tools (SSDT) or SQL Server Management Studio (SSMS). Power BI Desktop can also be used to develop models that can be deployed to SSAS Tabular instances.
Common Tools:
- Visual Studio with SSDT
- SQL Server Management Studio (SSMS)
- Power BI Desktop
When to Choose Tabular?
Tabular models are an excellent choice for:
- Organizations seeking a modern, agile BI platform.
- Scenarios requiring high performance for interactive analysis.
- BI developers and analysts familiar with relational databases and Excel.
- Integration with Microsoft's BI stack, especially Power BI.