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 Duration 14 hours

Course Outline

Foundations of SQL Server Analysis Services (SSAS)

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

Setup and Configuration of SSAS

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

Core Concepts in BI and Data Analytics

  • Insights into data warehouses and analytical frameworks
  • Converting operational data into actionable business intelligence
  • Structuring analytical solutions to support decision-making
  • An overview of OLAP and analytical processing techniques

Data Modeling in SSAS

  • Introduction to multidimensional data structures
  • Construction of dimensions and measures
  • Building cubes and analytical structures
  • Establishing relationships between data objects
  • Best practices for designing BI data models

Managing SSAS Tabular Models

  • Exploring the architecture of tabular models
  • Creation and management of tabular models
  • Executing queries on tabular data
  • Utilizing calculations and analytical expressions
  • Performance optimization for tabular models

Interrogating Multidimensional Data via MDX

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

Advanced SSAS Capabilities

  • Integration with Columnstore Index technology
  • Enhancing the speed of analytical queries
  • Improved synergy with SSIS
  • Integration with Master Data Services (MDS)

Implementing BI Solutions via SSAS


  • Deploying SSAS solutions into production environments
  • Connecting SSAS models to client-side applications
  • Integration with reporting and visualization platforms
  • Supporting enterprise-grade BI scenarios

Diagnosis and Performance Tuning

  • Monitoring the performance of SSAS
  • Diagnosing frequent configuration problems
  • Optimizing queries and underlying data models
  • Applying best practices for SSAS administration

Practical Workshop and Course Recap

  • Constructing analytical models using SSAS
  • Building and querying BI solutions
  • Examination of real-world SSAS implementation cases
  • Recap of essential concepts and recommended next steps

Requirements

  • A foundational understanding of data analysis
  • Prior experience with Microsoft SQL Server

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