Book Image

Hands-On Business Intelligence with DAX

By : Ian Horne
Book Image

Hands-On Business Intelligence with DAX

By: Ian Horne

Overview of this book

Data Analysis Expressions (DAX) is known for its ability to increase efficiency by extracting new information from data that is already present in your model. With this book, you’ll learn to use DAX’s functionality and flexibility in the BI and data analytics domains. You’ll start by learning the basics of DAX, along with understanding the importance of good data models, and how to write efficient DAX formulas by using variables and formatting styles. You’ll then explore how DAX queries work with the help of examples. The book will guide you through optimizing the BI workflow by writing powerful DAX queries. Next, you’ll learn to manipulate and load data of varying complexity within Microsoft products such as Power BI, SQL Server, and Excel Power Pivot. You’ll then discover how to build and extend your data models to gain additional insights, before covering progressive DAX syntax and functions to understand complex relationships in DAX. Later, you’ll focus on important DAX functions, specifically those related to tables, date and time, filtering, and statistics. Finally, you’ll delve into advanced topics such as how the formula and storage engines work to optimize queries. By the end of this book, you’ll have gained hands-on experience in employing DAX to enhance your data models by extracting new information and gaining deeper insights.
Table of Contents (18 chapters)
Section 1: Introduction to DAX for the BI Pro
Section 2: Understanding DAX Functions and Syntax
Section 3: Taking DAX to the Next Level


In this chapter, we looked at the group of DAX functions used to help us calculate statistical data. We started with a look at the complete list of the functions in this group, along with a brief description of each. We then moved on to look in more detail at some of the more commonly used functions in this group.

We looked at those functions that can be used to calculate averages, percentiles, and to rank our data, all while working through some examples of each function being used. We rounded off this chapter by taking a brief look at those functions that can be used to calculate standard deviation and variance.

In the next chapter, we will move beyond the different groups of DAX functions and take a look at some examples of DAX patterns.