Aggregations in Power BI

Overview

Delve into the robust world of Power BI Aggregations to enhance your data analysis capabilities. This comprehensive course provides an in-depth comparison with Analysis Services and teaches implementation strategies to optimize your analytical solutions.

Gain insights into architectural approaches that can transform your data processing and visualization experiences.

Powered by YouTube, this educational resource falls under the categories of Artificial Intelligence Courses and Conference Talks. While no specific university is designated, the content is structured to benefit both enthusiasts and professionals aiming for precision and efficiency in data analytics.

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

---

Subjects

Conference Talks