शुरू करने से पहले आपको क्या जानना चाहिए
आप शुरू करें
शुरू होता है 5 June 2026 16:16
समाप्त होता है 5 June 2026
5 hours 44 minutes
वैकल्पिक अपग्रेड उपलब्ध है
Not Specified
अपनी गति से आगे बढ़ें
Paid Course
वैकल्पिक अपग्रेड उपलब्ध है
अवलोकन
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.
पाठ्यक्रम
- 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
द्वारा पढ़ाया गया
Randy Minder
विषय
Business