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 Duration 14 hours

Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Overview of Business Intelligence principles
  • The function of SSAS within the Microsoft BI framework
  • Insight into SSAS architecture and constituent components
  • Interconnections between SSAS, SSIS, SSRS, and Power BI

Installation and Configuration of SSAS

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

Business Intelligence and Data Analytics Principles

  • Understanding data warehouses and analytical models
  • Converting operational data into actionable business insights
  • Architecting analytical solutions for informed decision-making
  • Introduction to OLAP and analytical processing

SSAS Data Modeling

  • Fundamentals of multidimensional data models
  • Designing dimensions and measures
  • Constructing cubes and analytical structures
  • Establishing relationships between data objects
  • Implementing best practices for BI data models

Utilizing SSAS Tabular Models

  • Understanding tabular model architecture
  • Development and management of tabular models
  • Querying tabular data structures
  • Handling 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 SSAS Capabilities

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

Deploying BI Solutions using SSAS

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

Troubleshooting and Performance Optimization

  • Monitoring SSAS performance metrics
  • Diagnosing common configuration issues
  • Optimizing queries and data models
  • Implementing SSAS administration best practices

Practical Workshop and Course Recap

  • Construction of analytical models using SSAS
  • Creation and interrogation of BI solutions
  • Review of real-world SSAS implementation cases
  • Summary of core concepts and recommended next steps

Requirements

  • A foundational understanding of data analytics
  • Practical experience with Microsoft SQL Server

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