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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Core concepts of Business Intelligence
  • The function of SSAS within the Microsoft BI ecosystem
  • Insight into SSAS architecture and constituent components
  • Interactions between SSAS, SSIS, SSRS, and Power BI

Installation and Configuration of SSAS

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

Concepts in Business Intelligence and Data Analytics

  • Understanding data warehouses and analytical frameworks
  • Converting operational data into actionable business insights
  • Developing analytical solutions to support decision-making
  • Fundamentals of OLAP and analytical processing

Data Modeling in SSAS

  • Introduction to multidimensional data structures
  • Developing dimensions and measures
  • Constructing cubes and analytical architectures
  • Establishing connections between data objects
  • Adhering to best practices for BI data models

Managing SSAS Tabular Models

  • Understanding the architecture of tabular models
  • Creation and management of tabular models
  • Executing queries on tabular data
  • Utilizing calculations and analytical expressions
  • Optimizing the performance of tabular models

Querying Multidimensional Data with MDX

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

Advanced Features of SSAS

  • Utilizing Columnstore Index technology
  • Enhancing the performance of analytical queries
  • Improved integration capabilities with SSIS
  • Overview of Master Data Services (MDS) integration

Implementing BI Solutions with SSAS

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

Troubleshooting and Performance Optimization

  • Monitoring the performance of SSAS
  • Diagnosing common configuration issues
  • Refining queries and data models
  • Implementing best practices for SSAS administration

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 recommended next steps

Requirements

  • A foundational understanding of data analysis
  • Practical experience with Microsoft SQL Server
 14 Hours

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