SQL Server Analysis Services (SSAS) provides a robust semantic environment for modeling data in support of analytic and ad hoc reporting needs. With each release of SQL Server, SSAS functionality is enhanced, with tabular models in particular becoming more capable and fully featured.
In this video, Scot Reagin couples discussion with demonstration to give you not just an understanding of the functional differences between multidimensional and tabular models, but also the context to understand where and why each should be implemented.
In addition to a comprehensive discussion of design and implementation topics, Scot covers techniques for developing queries using multidimensional and data analysis expressions, optimizing processing and query performance, and configuring and maintaining SSAS.
Lesson 1, Designing a Multidimensional Semantic Model, covers building a multidimensional semantic model—a Cube. Create the fundamental components for the model, dimensions, and measures as a project and deploy this to Analysis Service.
Lesson 2, Designing a Tabular Semantic Model, demonstrates how to build and deploy tabular models while exploring security and refresh options.
Lesson 3, Developing Queries Using MDX and DAX, covers developing queries and expressions using MDX and DAX. Understanding these query languages is essential to optimizing Analysis Services models—whether multidimensional or tabular.
Lesson 4, Configuring and Maintaining SSAS, looks at ways to monitor and configure Analysis Services for best performance.
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