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 Duration 14 hours

Course Outline

Introduction to SQL Server Analysis Services (SSAS)

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

Installing and Configuring SSAS

  • Setup of SQL Server Analysis Services
  • Configuration of SSAS environments
  • Comprehending deployment modes:
    • Multidimensional model
    • Tabular model
  • Administration of SSAS databases and instances

Business Intelligence and Data Analytics Fundamentals

  • Insights into data warehouses and analytical models
  • Converting operational data into strategic business insights
  • Architecting analytical solutions to support decision-making
  • Overview of OLAP and analytical processing

Data Modeling in SSAS

  • Introduction to multidimensional data structures
  • Designing dimensions and measures
  • Construction of cubes and analytical frameworks
  • Establishing relationships between data objects
  • Adhering to best practices for BI data models

Utilizing SSAS Tabular Models

  • Understanding the architecture of tabular models
  • Creation and management of tabular models
  • Executing queries on tabular data
  • Handling calculations and analytical expressions
  • Performance optimization of tabular models

Querying Multidimensional Data with MDX

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

Advanced SSAS Capabilities

  • Leveraging Columnstore Index technology
  • Enhancing analytical query performance
  • Advanced integration with SSIS
  • Overview of Master Data Services (MDS) integration

Deploying BI Solutions with SSAS

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

Troubleshooting and Performance Tuning

  • Monitoring SSAS performance metrics
  • Diagnosing common configuration challenges
  • Optimizing queries and data models
  • Implementing SSAS administration best practices

Practical Workshop and Course Recap

  • Constructing analytical models using SSAS
  • Building and querying BI solutions
  • Analysis of real-world SSAS implementation cases
  • Summary of core concepts and recommended next steps

Requirements

  • A foundational understanding of data analysis
  • Proficiency with Microsoft SQL Server

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