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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Overview of Business Intelligence concepts
  • Role of SSAS in the Microsoft BI ecosystem
  • Understanding SSAS architecture and components
  • Relationship between SSAS, SSIS, SSRS, and Power BI

Installing and Configuring SSAS

  • Installing SQL Server Analysis Services
  • Configuring SSAS environments
  • Understanding deployment modes:
    • Multidimensional model
    • Tabular model
  • Managing SSAS databases and instances

Business Intelligence and Data Analytics Concepts

  • Understanding data warehouses and analytical models
  • Transforming operational data into business insights
  • Designing analytical solutions for decision-making
  • Overview of OLAP and analytical processing

SSAS Data Modeling

  • Introduction to multidimensional data models
  • Designing dimensions and measures
  • Creating cubes and analytical structures
  • Implementing relationships between data objects
  • Applying best practices for BI data models

Working with SSAS Tabular Models

  • Understanding tabular model architecture
  • Creating and managing tabular models
  • Querying tabular data
  • Working with calculations and analytical expressions
  • Optimizing tabular model performance

Querying Multidimensional Data with MDX

  • Introduction to MDX (Multidimensional Expressions)
  • Querying cubes and dimensions
  • Creating calculated members and measures
  • Filtering and analysing multidimensional data

Advanced SSAS Features

  • Working with Columnstore Index technology
  • Improving analytical query performance
  • Enhanced integration with SSIS
  • Overview of Master Data Services (MDS) integration

Deploying BI Solutions with SSAS

  • Deploying SSAS solutions to production environments
  • Connecting SSAS models with client applications
  • Integrating with reporting and visualization tools
  • Supporting enterprise BI scenarios

Troubleshooting and Performance Optimization

  • Monitoring SSAS performance
  • Identifying common configuration issues
  • Optimizing queries and data models
  • Applying SSAS administration best practices

Practical Workshop and Course Review

  • Building analytical models using SSAS
  • Creating and querying BI solutions
  • Reviewing real-world SSAS implementation scenarios
  • Summary of key concepts and next steps

Requirements

  • An understanding of data analysis
  • Experience with Microsoft SQL Server
 14 Hours

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