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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Overview of Business Intelligence concepts
  • The role of SSAS within the Microsoft BI ecosystem
  • Comprehending SSAS architecture and its components
  • The relationship between SSAS, SSIS, SSRS, and Power BI

Installing and Configuring SSAS

  • Installation of SQL Server Analysis Services
  • Configuration of SSAS environments
  • Understanding deployment modes:
    • Multidimensional model
    • Tabular model
  • Administration of SSAS databases and instances

Business Intelligence and Data Analytics Concepts

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

SSAS Data Modeling

  • Introduction to multidimensional data models
  • Design of dimensions and measures
  • Creation of cubes and analytical structures
  • Implementation of relationships between data objects
  • Application of best practices for BI data models

Working with SSAS Tabular Models

  • Understanding tabular model architecture
  • Creation and management of tabular models
  • Querying tabular data
  • Handling calculations and analytical expressions
  • Optimization of tabular model performance

Querying Multidimensional Data with MDX

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

Advanced SSAS Features

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

Deploying BI Solutions with SSAS

  • Deployment of SSAS solutions to production environments
  • Connection of SSAS models with client applications
  • Integration with reporting and visualization tools
  • Support for enterprise BI scenarios

Troubleshooting and Performance Optimization

  • Monitoring of SSAS performance
  • Identification of common configuration issues
  • Optimization of queries and data models
  • Application of SSAS administration best practices

Practical Workshop and Course Review

  • Construction of analytical models using SSAS
  • Creation and querying of BI solutions
  • Review of real-world SSAS implementation scenarios
  • Summary of key concepts and next steps

Requirements

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

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