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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Fundamentals of Business Intelligence concepts
  • The function of SSAS within the Microsoft BI ecosystem
  • An overview of SSAS architecture and its components
  • The connection between SSAS, SSIS, SSRS, and Power BI

Installation and Configuration of SSAS

  • Setting up SQL Server Analysis Services
  • Configuring SSAS environments
  • Exploring deployment modes:
    • Multidimensional model
    • Tabular model
  • Administration of SSAS databases and instances

Concepts in Business Intelligence and Data Analytics

  • Insight into data warehouses and analytical models
  • Converting operational data into actionable business insights
  • Crafting analytical solutions to support decision-making
  • An introduction to OLAP and analytical processing

Data Modeling with SSAS

  • Getting started with multidimensional data models
  • Designing dimensions and measures
  • Building cubes and analytical structures
  • Establishing relationships between data objects
  • Adopting best practices for BI data models

Managing SSAS Tabular Models

  • Understanding the architecture of tabular models
  • Creating and maintaining tabular models
  • Executing queries on tabular data
  • Utilizing calculations and analytical expressions
  • Enhancing the performance of tabular models

Querying Multidimensional Data using MDX

  • An introduction to MDX (Multidimensional Expressions)
  • Querying cubes and dimensions
  • Developing calculated members and measures
  • Filtering and analyzing multidimensional data

Advanced Features of SSAS

  • Utilizing Columnstore Index technology
  • Enhancing analytical query performance
  • Improving integration with SSIS
  • An overview of Master Data Services (MDS) integration

Deploying BI Solutions with SSAS

  • Rolling out SSAS solutions to production settings
  • Linking SSAS models with client applications
  • Integrating 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
  • Developing and querying BI solutions
  • Examining real-world SSAS implementation cases
  • Summary of core concepts and future steps

Requirements

  • Familiarity with data analysis principles
  • Practical experience with Microsoft SQL Server
 14 Hours

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