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 Duration 14 hours (2 days)

Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Foundations of Business Intelligence concepts
  • The function of SSAS within the Microsoft BI ecosystem
  • Overview of SSAS architecture and its core components
  • Interactions between SSAS, SSIS, SSRS, and Power BI

Installation and Configuration of SSAS

  • Procedure for installing SQL Server Analysis Services
  • Setting up SSAS environments
  • Exploration of deployment modes:
    • Multidimensional model
    • Tabular model
  • Administration of SSAS databases and instances

Concepts in Business Intelligence and Data Analytics

  • Insights into data warehouses and analytical models
  • Converting operational data into actionable business insights
  • Formulating analytical solutions to support decision-making
  • Introduction to OLAP and analytical processing

Data Modeling in SSAS

  • Basics of multidimensional data models
  • Designing dimensions and measures
  • Construction of cubes and analytical structures
  • Establishing relationships among data objects
  • Adoption of best practices for BI data models

Managing SSAS Tabular Models

  • Analysis of tabular model architecture
  • Development and administration of tabular models
  • Interrogation of tabular data
  • Utilization of calculations and analytical expressions
  • Enhancement 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 analysis of multidimensional data

Advanced Features of SSAS

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

Deployment of BI Solutions using SSAS

  • Rollout of SSAS solutions to production environments
  • Linking SSAS models with client applications
  • Integration with reporting and visualization tools
  • Support for enterprise-level BI scenarios

Troubleshooting and Performance Optimization

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

Practical Workshop and Course Recap

  • Construction of analytical models using SSAS
  • Development and querying of BI solutions
  • Examination of real-world SSAS implementation cases
  • Summary of core concepts and subsequent steps

Requirements

  • A solid grasp of data analysis principles
  • Practical experience with Microsoft SQL Server

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