מה צריך לדעת לפני
שתתחיל
מתחיל 5 June 2026 15:13
נגמר 5 June 2026
5 hours 44 minutes
שדרוג אופציונלי זמין
Not Specified
התקדמות בקצב שלך
Paid Course
שדרוג אופציונלי זמין
סקירה כללית
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.
סילבוס
- 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
נלמד על ידי
Randy Minder
נושאים
Business