Was Sie vorher wissen sollten
bevor Sie beginnen
Beginnt 5 June 2026 16:16
Endet 5 June 2026
5 hours 44 minutes
Optionales Upgrade verfügbar
Not Specified
Lernen Sie in Ihrem eigenen Tempo
Paid Course
Optionales Upgrade verfügbar
Übersicht
DAX can seem simple when just learning but then gets progressively more difficult and it is very hard to master. There are so many subtilties.
This makes trying to figure out why your DAX code is underperforming, and fixing it, overwhelming at times. This course attempts to make this process easier.
The course starts with the importance of proper data modeling and why a Star schema is so critical. We then cover the concepts of normalization and denormalization along with the use of dimension and fact tables.
We cover in depth the importance of using the VertiPaq Analyzer when exploring the makeup of your data model.
Lehrplan
- Introduction to DAX Optimization
- Importance of Proper Data Modeling
- Understanding Data Normalization and Denormalization
- Utilizing Dimension and Fact Tables
- Introduction to VertiPaq Analyzer
- Analyzing Data Models with VertiPaq Analyzer
- Advanced DAX Optimization Techniques
- Practical Case Studies and Hands-on Exercises
- Conclusion and Best Practices
- Additional Resources
Unterrichtet von
Randy Minder
Fachgebiete
Business