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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Fundamentals of Business Intelligence
  • The position of SSAS within the Microsoft BI ecosystem
  • Analysis of SSAS architecture and core components
  • Interconnections among SSAS, SSIS, SSRS, and Power BI

Installing and Configuring SSAS

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

Business Intelligence and Data Analytics Concepts

  • Comprehension of data warehouses and analytical structures
  • Conversion of operational data into strategic insights
  • Development of analytical solutions for informed decision-making
  • Overview of OLAP and analytical processing methodologies

SSAS Data Modeling

  • Introduction to multidimensional data structures
  • Designing dimensions and measures
  • Construction of cubes and analytical frameworks
  • Establishing relationships between data objects
  • Application of best practices for BI data models

Working with SSAS Tabular Models

  • Analysis of tabular model architecture
  • Creation and management of tabular models
  • Querying tabular data structures
  • Utilization of calculations and analytical expressions
  • Performance optimization of tabular models

Querying Multidimensional Data with MDX

  • Introduction to MDX (Multidimensional Expressions)
  • Executing queries on cubes and dimensions
  • Development of calculated members and measures
  • Filtering and analyzing multidimensional data sets

Advanced SSAS Features

  • Leveraging Columnstore Index technology
  • Enhancing analytical query performance
  • Advanced integration techniques with SSIS
  • Integration overview with Master Data Services (MDS)

Deploying BI Solutions with SSAS

  • Rolling out SSAS solutions to production environments
  • Connecting SSAS models to client applications
  • Integration with reporting and visualization tools
  • Support for enterprise-level BI scenarios

Troubleshooting and Performance Optimization

  • Monitoring SSAS system performance
  • Diagnosis of common configuration issues
  • Optimization of queries and data models
  • Implementation of SSAS administration best practices

Practical Workshop and Course Review

  • Construction of analytical models using SSAS
  • Creation and querying of BI solutions
  • Analysis of real-world SSAS implementation cases
  • Recap of key concepts and recommended next steps

Requirements

  • Familiarity with data analysis concepts
  • Proficiency with Microsoft SQL Server
 14 Hours

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