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Course Outline

Foundations of SQL Server Analysis Services (SSAS)

  • Overview of core Business Intelligence concepts
  • The pivotal role of SSAS within the Microsoft BI ecosystem
  • In-depth look at SSAS architecture and key components
  • Interdependencies among SSAS, SSIS, SSRS, and Power BI

Setting Up SSAS

  • Step-by-step installation of SQL Server Analysis Services
  • Configuring optimal SSAS environments
  • Exploring deployment modes:
    • Multidimensional models
    • Tabular models
  • Administrating SSAS databases and instances

BI and Data Analytics Fundamentals

  • Navigating data warehouses and analytical models
  • Converting operational data into strategic business insights
  • Designing analytical frameworks for informed decision-making
  • Key aspects of OLAP and analytical processing

SSAS Data Modeling Techniques

  • Introduction to multidimensional data structures
  • Constructing effective dimensions and measures
  • Building cubes and analytical frameworks
  • Establishing logical relationships between data objects
  • Adopting best practices for BI data modeling

Mastering SSAS Tabular Models

  • Anatomy of tabular model architecture
  • Creating and maintaining tabular models
  • Efficient querying of tabular data
  • Utilizing calculations and analytical expressions
  • Performance tuning for tabular models

Multidimensional Querying with MDX

  • Essentials of MDX (Multidimensional Expressions)
  • Querying cubes and dimensional data
  • Developing calculated members and measures
  • Advanced filtering and analysis of multidimensional data

Advanced SSAS Capabilities

  • Leveraging Columnstore Index technology
  • Enhancing analytical query performance
  • Seamless integration workflows with SSIS
  • Integration strategies with Master Data Services (MDS)

Implementing BI Solutions with SSAS

  • Deploying SSAS solutions in production settings
  • Bridging SSAS models with client-side applications
  • Integrating with reporting and visualization platforms
  • Addressing enterprise-level BI use cases

Optimizing Performance and Troubleshooting

  • Monitoring SSAS health and performance
  • Diagnosing and resolving common configuration challenges
  • Refining queries and data model structures
  • Implementing best practices for SSAS administration

Hands-On Workshop and Recap

  • Building analytical models using SSAS
  • Developing and querying comprehensive BI solutions
  • Analyzing real-world SSAS implementation case studies
  • Key takeaways and recommended next steps

Requirements

  • Familiarity with data analysis concepts
  • Hands-on experience with Microsoft SQL Server
 14 Hours

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