Learning Microsoft Power BI - DAX Concepts and Fundamentals

The video tutorial introduces DAX, a core calculation language used in Power BI, Excel, and SQL Server Analysis Services. It explains DAX's origin in Excel Powerpivot and its design to be user-friendly for Excel users. The tutorial highlights the differences between Excel and DAX calculations, emphasizing DAX's focus on columns and tables. It concludes by discussing the power of DAX filters in applying business logic to data analysis.

What does DAX stand for?

• Data Analytics Extension

• Data Access Expression

• Data Analysis Expression

• Dynamic Analysis Execution

Which platforms utilize the same DAX engine?

• Power BI, Excel, and SQL Server Analysis Services

• Excel, Google Sheets, and Power BI

• SQL Server, Access, and Power BI

• Excel, Tableau, and SQL Server

How does DAX differ from Excel in terms of calculation?

• Both use column references

• Both use cell references

• DAX uses column references, Excel uses cell references

• DAX uses cell references, Excel uses column references

What is a key feature of DAX that enhances its power?

• Ability to export reports

• Ability to import data

• Ability to apply filters

• Ability to create charts

Why are filters essential in DAX calculations?

• They enable the application of business logic

• They allow for data import

• They help in formatting data

• They assist in data export