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 Duration 14 hours

Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Fundamental concepts of Business Intelligence
  • The position of SSAS within the Microsoft BI ecosystem
  • An examination of SSAS architecture and its core components
  • The interplay between SSAS, SSIS, SSRS, and Power BI

Installing and Configuring SSAS

  • Procedure for installing SQL Server Analysis Services
  • Setting up SSAS environments
  • Comprehending deployment modes:
    • Multidimensional model
    • Tabular model
  • Oversight of SSAS databases and instances

Business Intelligence and Data Analytics Principles

  • Concepts of data warehouses and analytical frameworks
  • Converting operational data into actionable business insights
  • Architecting analytical solutions to support decision-making
  • An overview of OLAP and analytical processing techniques

SSAS Data Modeling

  • Foundations of multidimensional data models
  • Structuring dimensions and measures
  • Construction of cubes and analytical structures
  • Establishing relationships among data objects
  • Adherence to best practices in BI data modeling

Managing SSAS Tabular Models

  • Analysis of tabular model architecture
  • Creation and administration of tabular models
  • Techniques for querying tabular data
  • Application of calculations and analytical expressions
  • Strategies for enhancing tabular model performance

Querying Multidimensional Data via MDX

  • Introduction to MDX (Multidimensional Expressions)
  • Interrogating cubes and dimensions
  • Formulating calculated members and measures
  • Applying filters and analyzing multidimensional data

Advanced SSAS Capabilities

  • Leveraging Columnstore Index technology
  • Enhancing the speed of analytical queries
  • Strengthened integration with SSIS
  • Insights into Master Data Services (MDS) integration

Implementing BI Solutions with SSAS

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

Troubleshooting and Performance Tuning

  • Observing SSAS performance metrics
  • Diagnosing frequent configuration challenges
  • Refining queries and data models
  • Execution of SSAS administrative best practices

Practical Workshop and Course Recap

  • Construction of analytical models utilizing SSAS
  • Development and interrogation of BI solutions
  • Analysis of real-world SSAS deployment scenarios
  • Recap of core concepts and recommended next steps

Requirements

  • A solid grasp of data analysis principles
  • Proficiency in working with Microsoft SQL Server

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