Aggregations in Power BI

Overview

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

Syllabus

• 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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Subjects

Conference Talks