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शुरू होता है 4 June 2026 12:16

समाप्त होता है 4 June 2026

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Aggregations in Power BI

Explore high-performance data analysis using Power BI Aggregations. Compare with Analysis Services, learn implementation strategies, and understand architectural approaches for optimized analytical solutions.
PASS Data Community Summit via YouTube

PASS Data Community Summit

6076 कोर्स


1 hour 15 minutes

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Conference Talk

वैकल्पिक अपग्रेड उपलब्ध है

अवलोकन

Explore high-performance data analysis using Power BI Aggregations. Compare with Analysis Services, learn implementation strategies, and understand architectural approaches for optimized analytical solutions.

पाठ्यक्रम

  • Introduction to Power BI Aggregations
  • Overview of Power BI and Its Capabilities
    Importance of Aggregations in Data Analysis
    Use Cases for Power BI Aggregations
  • Comparison with Analysis Services
  • Overview of SQL Server Analysis Services (SSAS)
    Differences and Similarities in Aggregation Mechanisms
    Performance and Optimization Considerations
  • Implementing Power BI Aggregations
  • Steps to Enable and Configure Aggregations
    Managing Aggregate Tables in Power BI
    Use of Lazy and Direct Query Modes
  • Designing Aggregations for High Performance
  • Choosing the Right Aggregation Level
    Designing Optimal Aggregate Tables
    Using Composite Models and Dual Storage Mode
  • Architectural Approaches for Optimized Analytical Solutions
  • Building Scalable Models with Aggregations
    Integration with Existing Data Architectures
    Case Studies of Successful Implementation
  • Best Practices and Troubleshooting
  • Common Challenges and How to Overcome Them
    Tips for Maintaining and Updating Aggregations
    Strategies for Monitoring and Improving Performance
  • Hands-On Lab Exercises
  • Creating and Configuring Aggregations
    Performance Testing Against Non-Aggregated Models
    Real-World Scenarios and Problem Solving
  • Conclusion and Further Resources
  • Summary of Key Learnings
    Resources for Continued Learning and Advanced Topics
    Q&A Session and Course Feedback

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