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Starts 2 June 2025 13:11

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Developing and Managing a Business Intelligence Semantic Model in SQL Server Analysis Services

Learn to create, manage, and troubleshoot BI Semantic Models using SQL Server "Denali" features, with PowerPivot as a starting point for enhanced business intelligence capabilities.
PASS Data Community Summit via YouTube

PASS Data Community Summit

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1 hour 13 minutes

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Overview

Learn to create, manage, and troubleshoot BI Semantic Models using SQL Server "Denali" features, with PowerPivot as a starting point for enhanced business intelligence capabilities.

Syllabus

  • Introduction to Business Intelligence Semantic Models (BISM)
  • Overview of Business Intelligence and its importance
    Introduction to SQL Server Analysis Services (SSAS)
    Understanding SQL Server "Denali" features
  • PowerPivot as a Foundation
  • Introduction to PowerPivot for Excel
    Importing and preparing data in PowerPivot
    Basic DAX (Data Analysis Expressions) for calculations
  • Creating BI Semantic Models
  • Differences between Tabular and Multidimensional models
    Building a Tabular model using SQL Server Data Tools (SSDT)
    Data modeling best practices
  • Managing BI Semantic Models
  • Deploying models to SSAS
    Configuring security and user access
    Managing and optimizing processing and storage
  • Enhancing BI Models with Advanced DAX
  • Advanced DAX functions and patterns
    Time intelligence in DAX
    Creating calculated columns and measures
  • Troubleshooting and Optimizing BI Models
  • Identifying and solving common performance issues
    Monitoring and tuning SQL Server and SSAS
    Best practices for troubleshooting
  • Integration with Other BI Tools
  • Using BI Semantic Models with Power BI
    Creating reports and dashboards
    Implementing connectivity with other tools
  • Course Project
  • Students design a complete BI solution
    Presenting and reviewing project outcomes
  • Recap and Future Trends in BI
  • Recap of key concepts learned
    Discussion on emerging trends in Business Intelligence and SSAS

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