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Course Outline

Foundations of SQL Server Analysis Services (SSAS)

  • Key Business Intelligence concepts
  • The position of SSAS within the Microsoft BI ecosystem
  • Architecture and core components of SSAS
  • Interconnections among SSAS, SSIS, SSRS, and Power BI

Setup and Configuration of SSAS

  • Installation procedures for SQL Server Analysis Services
  • Configuring SSAS environments
  • Deployment modes explained:
    • Multidimensional models
    • Tabular models
  • Administering SSAS databases and instances

Core Concepts in BI and Data Analytics

  • Data warehouses and analytical model structures
  • Converting operational data into strategic business insights
  • Architecting analytical solutions for informed decision-making
  • Introduction to OLAP and analytical processing

Modeling Data in SSAS

  • Overview of multidimensional data models
  • Structuring dimensions and measures
  • Developing cubes and analytical frameworks
  • Establishing relationships between data objects
  • Best practices for constructing BI data models

Managing SSAS Tabular Models

  • Tabular model architecture insights
  • Creation and administration of tabular models
  • Executing queries on tabular data
  • Utilizing calculations and analytical expressions
  • Performance tuning for tabular models

Multidimensional Querying via MDX

  • Introduction to MDX (Multidimensional Expressions)
  • Querying cubes and dimensions
  • Defining calculated members and measures
  • Filtering and analyzing multidimensional datasets

Advanced SSAS Capabilities

  • Leveraging Columnstore Index technology
  • Enhancing analytical query efficiency
  • Advanced SSIS integration techniques
  • Integration with Master Data Services (MDS)

Implementing BI Solutions with SSAS

  • Rolling out SSAS solutions to production environments
  • Linking SSAS models with client applications
  • Integration with reporting and visualization platforms
  • Supporting complex enterprise BI use cases

Diagnosing Issues and Optimizing Performance

  • Monitoring SSAS operational health
  • Recognizing frequent configuration challenges
  • Refining queries and data models for speed
  • Applying SSAS administration best practices

Practical Application and Course Recap

  • Constructing analytical models with SSAS
  • Building and querying BI solutions
  • Analyzing real-world SSAS implementation cases
  • Summary of essential concepts and future directions

Requirements

  • A foundational grasp of data analysis principles
  • Practical experience with Microsoft SQL Server
 14 Hours

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