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SQL Server Analysis Services (SSAS) Tutorials

Explore the power of SQL Server Analysis Services (SSAS) to build sophisticated analytical solutions, including multidimensional models and tabular models, for business intelligence.

Getting Started with SSAS

This section covers the fundamental concepts and initial steps for working with SSAS.

1. Introduction to Analysis Services

Understand the architecture and capabilities of SSAS.

2. Setting Up Your SSAS Environment

Learn how to install and configure SSAS for development.

Developing Multidimensional Models

Dive into creating and managing cube-based models for complex analytical queries.

3. Creating Your First Cube

Build a basic multidimensional model with dimensions and measures.

Key Concepts: Dimensions, Measures, Cubes, Hierarchies.

4. Designing Advanced Cube Structures

Explore semi-additive measures, relateddimensions, and multiple fact tables.

5. Using MDX for Advanced Calculations

Write Multidimensional Expressions (MDX) for sophisticated slicing and dicing.

WITH MEMBER [Measures].[YTD Sales] AS 'SUM( YTD([Date].[Calendar Year].CurrentMember.Children), [Measures].[Sales Amount] )' SELECT {[Measures].[Sales Amount], [Measures].[YTD Sales]} ON 0 FROM [Adventure Works]

Developing Tabular Models

Discover the in-memory analytics engine and DAX for modern BI solutions.

6. Creating Your First Tabular Model

Build a relational-style model using Visual Studio or SQL Server Data Tools.

7. Writing DAX Expressions

Learn Data Analysis Expressions (DAX) for powerful data modeling and analysis.

Total Sales := SUM('Sales'[Sales Amount])

8. Optimizing Tabular Models

Techniques for improving performance and scalability.

Deployment and Management

Learn how to deploy, secure, and manage your SSAS solutions.

9. Deploying SSAS Models

Steps to deploy your multidimensional or tabular models to a SSAS server.

10. Securing Analysis Services

Implement role-based security for your cubes and tabular models.

Further Learning