Enterprise-Grade BI with Power BI - EIM, Scale and Performance

Overview

Explore enterprise-grade BI with Power BI, focusing on EIM, scale, and performance. Learn about data lineage, impact analysis, semantic models, and data protection for optimized large-scale analytics solutions.

Syllabus

• Introduction to Enterprise BI with Power BI
Overview of Business Intelligence (BI)
Power BI architecture and components
Key features of enterprise-grade BI
• Enterprise Information Management (EIM)
Understanding EIM in a BI context
Data governance and quality
Data lineage and impact analysis
• Scaling Power BI Solutions
Designing for scalability
Managing large datasets in Power BI
Performance optimization strategies
• Semantic Models
Introduction to semantic models in Power BI
Building and managing data models
Best practices for complex model design
• Performance Optimization Techniques
Identifying and resolving performance bottlenecks
Use of Aggregations and DirectQuery
Implementing incremental data refresh
• Data Protection and Security
Security in Power BI
Role-based security and data encryption
Compliance and data privacy considerations
• Advanced Analytics and Custom Visualizations
Leveraging DAX for advanced calculations
Developing and using custom visuals
Integration with AI and machine learning models
• Case Studies and Industry Applications
Real-world applications of Power BI in enterprise settings
Case study analysis: challenges and solutions
• Best Practices and Future Trends
Industry best practices for enterprise BI
Emerging trends in BI and analytics with Power BI
• Course Conclusion
Recap of key concepts
Additional resources and next steps in BI with Power BI

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Subjects

Conference Talks