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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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