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 Duration 14 hours

Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Foundations of Business Intelligence concepts
  • The function of SSAS within the Microsoft BI ecosystem
  • An overview of SSAS architecture and core components
  • The interplay between SSAS, SSIS, SSRS, and Power BI

Installation and Configuration of SSAS

  • Procedures for installing SQL Server Analysis Services
  • Setting up SSAS environments effectively
  • Explaining deployment modes:
    • Multidimensional models
    • Tabular models
  • Administration of SSAS databases and instances

Concepts in Business Intelligence and Data Analytics

  • Insight into data warehouses and analytical frameworks
  • Converting operational data into strategic business insights
  • Crafting analytical solutions to support decision-making
  • Basics of OLAP and analytical processing

Data Modeling in SSAS

  • Introduction to multidimensional data structures
  • Creating dimensions and defining measures
  • Building cubes and analytical structures
  • Establishing relationships between data entities
  • Best practices for BI data modeling

Utilizing SSAS Tabular Models

  • Anatomy of the tabular model architecture
  • Creation and management of tabular models
  • Techniques for querying tabular data
  • Using calculations and analytical expressions
  • Strategies for optimizing tabular model performance

Querying Multidimensional Data via MDX

  • Fundamentals of MDX (Multidimensional Expressions)
  • Techniques for querying cubes and dimensions
  • Development of calculated members and measures
  • Filtering and analyzing multidimensional datasets

Advanced Features of SSAS

  • Leveraging Columnstore Index technology
  • Enhancing the performance of analytical queries
  • Advanced integration techniques with SSIS
  • Integration overview with Master Data Services (MDS)

Deployment of BI Solutions using SSAS

  • Rolling out SSAS solutions in production settings
  • Linking SSAS models with client-side applications
  • Integration with reporting and visualization platforms
  • Addressing enterprise-level BI scenarios

Troubleshooting and Performance Tuning

  • Monitoring SSAS performance metrics
  • Diagnosing common configuration challenges
  • Optimizing query execution and data models
  • Best practices for SSAS administration

Practical Workshop and Course Recap

  • Constructing analytical models with SSAS
  • Development and querying of BI solutions
  • Analysis of real-world SSAS implementation cases
  • Recap of core concepts and future recommendations

Requirements

  • A solid grasp of data analysis principles
  • Practical experience with Microsoft SQL Server

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