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शुरू होता है 5 June 2026 16:16

समाप्त होता है 5 June 2026

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DAX Optimization and Performance

via Udemy

4160 कोर्स


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
  • Overview of DAX and its complexities
    Common pitfalls in DAX performance
  • Importance of Proper Data Modeling
  • Overview of data modeling
    Star Schema vs. Snowflake Schema
    Benefits of a Star Schema for DAX
  • Understanding Data Normalization and Denormalization
  • Definitions and differences between normalization and denormalization
    Advantages of denormalization for reporting and analytics
    Identifying when to use normalized vs. denormalized data models
  • Utilizing Dimension and Fact Tables
  • Purpose and roles of dimension and fact tables
    Designing efficient dimension tables
    Optimizing fact tables for performance
  • Introduction to VertiPaq Analyzer
  • Overview of VertiPaq engine
    Importance of VertiPaq Analyzer in model optimization
  • Analyzing Data Models with VertiPaq Analyzer
  • How to explore data model make up using VertiPaq Analyzer
    Identifying performance bottlenecks in data models
  • Advanced DAX Optimization Techniques
  • Utilizing DAX Studio and performance monitoring tools
    Best practices for writing efficient DAX code
    Understanding and reducing cardinality
  • Practical Case Studies and Hands-on Exercises
  • Real-world examples of DAX optimization
    Hands-on exercises to apply learned techniques
  • Conclusion and Best Practices
  • Recap of key concepts covered in the course
    Checklist for ongoing DAX optimization
  • Additional Resources
  • Suggested readings and tools
    Community forums and support networks for DAX professionals

द्वारा पढ़ाया गया

Randy Minder


विषय

Business