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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Fundamentals of Business Intelligence concepts
  • The function of SSAS within the Microsoft BI ecosystem
  • Insight into SSAS architecture and core components
  • The connection between SSAS, SSIS, SSRS, and Power BI

Installation and Configuration of SSAS

  • Setting up SQL Server Analysis Services
  • Tailoring SSAS environments
  • Exploring deployment modes:
    • Multidimensional model
    • Tabular model
  • Administration of SSAS databases and instances

BI and Data Analytics Frameworks

  • Grasping data warehouses and analytical structures
  • Converting operational data into actionable business insights
  • Developing analytical strategies for informed decision-making
  • Overview of OLAP and analytical processing techniques

SSAS Data Modeling

  • Foundations of multidimensional data models
  • Structuring dimensions and measures
  • Construction of cubes and analytical frameworks
  • Establishing connections between data entities
  • Adhering to best practices in BI data modeling

Managing SSAS Tabular Models

  • Analyzing tabular model architecture
  • Development and administration of tabular models
  • Executing queries on tabular data
  • Utilizing calculations and analytical expressions
  • Enhancing the performance of tabular models

Querying Multidimensional Data via MDX

  • Introduction to MDX (Multidimensional Expressions)
  • Interrogating cubes and dimensions
  • Development of calculated members and measures
  • Filtering and examining multidimensional data

Advanced SSAS Capabilities

  • Leveraging Columnstore Index technology
  • Boosting analytical query efficiency
  • Strengthened integration with SSIS
  • Overview of Master Data Services (MDS) integration

Deployment of BI Solutions with SSAS

  • Rolling out SSAS solutions into production environments
  • Linking SSAS models with client-side applications
  • Integration with reporting and visualization platforms
  • Facilitating enterprise-wide BI scenarios

Troubleshooting and Performance Tuning

  • Monitoring SSAS performance metrics
  • Diagnosing frequent configuration errors
  • Refining queries and data models
  • Implementing best practices for SSAS administration

Hands-on Workshop and Course Recap

  • Construction of analytical models using SSAS
  • Creation and querying of BI solutions
  • Examination of real-world SSAS deployment cases
  • Recap of core concepts and recommended next steps

Requirements

  • Familiarity with data analysis principles
  • Proficiency in Microsoft SQL Server
 14 Hours

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