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 Duration 14 hours

Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Key Business Intelligence concepts
  • The function of SSAS within the Microsoft BI ecosystem
  • Insights into SSAS architecture and components
  • The connection between SSAS, SSIS, SSRS, and Power BI

Installing and Configuring SSAS

  • Installation procedures for SQL Server Analysis Services
  • Setting up SSAS environments
  • Understanding deployment modes:
    • Multidimensional model
    • Tabular model
  • Administering SSAS databases and instances

Business Intelligence and Data Analytics Concepts

  • Data warehouses and analytical model fundamentals
  • Converting operational data into actionable business insights
  • Creating analytical solutions to support decision-making
  • Overview of OLAP and analytical processing techniques

SSAS Data Modeling

  • Foundations of multidimensional data models
  • Designing dimensions and measures
  • Constructing cubes and analytical structures
  • Establishing relationships between data objects
  • Best practices for BI data models

Working with SSAS Tabular Models

  • Architecture of tabular models
  • Creation and management of tabular models
  • Querying tabular data
  • Utilizing calculations and analytical expressions
  • Enhancing tabular model performance

Querying Multidimensional Data with MDX

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

Advanced SSAS Features

  • Utilizing Columnstore Index technology
  • Optimizing analytical query performance
  • Enhanced integration capabilities with SSIS
  • Overview of Master Data Services (MDS) integration

Deploying BI Solutions with SSAS

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

Troubleshooting and Performance Optimization

  • Monitoring SSAS performance metrics
  • Diagnosing common configuration issues
  • Optimizing queries and data models
  • Adhering to SSAS administration best practices

Practical Workshop and Course Review

  • Developing analytical models using SSAS
  • Building and querying BI solutions
  • Examining real-world SSAS implementation cases
  • Recap of core concepts and subsequent steps

Requirements

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

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