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Course Outline
Introduction to SQL Server Analysis Services (SSAS)
- Foundational concepts of Business Intelligence
- The function of SSAS within the broader Microsoft BI landscape
- Architectural overview and core components of SSAS
- Interactions between SSAS, SSIS, SSRS, and Power BI
Installation and Configuration of SSAS
- Steps for installing SQL Server Analysis Services
- Setting up SSAS environments
- Exploring deployment modes:
- Multidimensional models
- Tabular models
- Administration of SSAS databases and server instances
Concepts in Business Intelligence and Data Analytics
- Exploring data warehouses and analytical modeling structures
- Converting operational data into strategic business insights
- Structuring analytical solutions to support decision-making
- Basics of OLAP and analytical processing techniques
Data Modeling in SSAS
- Introduction to multidimensional data architectures
- Structuring dimensions and defining measures
- Constructing cubes and analytical frameworks
- Establishing relationships among data objects
- Best practices for designing BI data models
Managing SSAS Tabular Models
- Understanding the architecture of tabular models
- Creation and administration of tabular structures
- Techniques for querying tabular data
- Handling calculations and analytical expressions
- Strategies for optimizing tabular model performance
Querying Multidimensional Data with MDX
- Introduction to Multidimensional Expressions (MDX)
- Querying techniques for cubes and dimensions
- Defining calculated members and measures
- Filtering and analyzing multidimensional datasets
Advanced SSAS Capabilities
- Utilizing Columnstore Index technology
- Enhancing the speed of analytical queries
- Advanced integration methods with SSIS
- Integration overview with Master Data Services (MDS)
Deployment of BI Solutions using SSAS
- Deploying SSAS solutions to production settings
- Linking SSAS models with end-user client applications
- Integrating with reporting and visualization platforms
- Supporting complex enterprise BI scenarios
Troubleshooting and Performance Tuning
- Monitoring performance metrics in SSAS
- Diagnosing common configuration challenges
- Optimizing query structures and data models
- Applying best practices for SSAS administration
Practical Workshop and Course Recap
- Constructing analytical models with SSAS
- Developing and querying BI solutions
- Analyzing real-world SSAS implementation cases
- Recap of key concepts and recommended next steps
Requirements
- A foundational understanding of data analysis principles
- Prior experience working with Microsoft SQL Server
14 Hours
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