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Introduction to DAX

Data Analysis Expressions or DAX is a function programming language that is used throughout Power BI for creating measures and calculated columns. It contains a collection of functions, operators, and constants. Which can be used in either an expression or formula to calculate and return the desired values. DAX can be used to solve a number of calculation and data analysis challenges, that can help you create new information from data already in your model. 

In Power BI, there are several calculation techniques and functions available to create measures or calculated columns. This means you will be able to achieve equivalent results by using these different techniques. It is therefore important to know how and when to apply them. The key to creating high-performance, and robust data models is an understanding of how and when to use a certain technique or function.

DAX measures are very useful and can be used in many different scenarios. For example, when you want an aggregation over the entire dataset and the total sales of all rows. Measures also enable you to slice and dice that data by other criteria like total sales per month, country, or product.

It is even possible to build a measure without writing DAX code, by constructing a quick measure. Then Power BI will write the code in the background as you create your measure. There is a wide range of predefined functions and ways to modify each calculation to fit your needs. Another advantage of beginning with Quick measures is that you can see the DAX code that's implemented to create the measure. This enables you to get started quickly and develop your DAX knowledge.

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