Book Image

Microsoft Power BI Complete Reference

By : Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell
Book Image

Microsoft Power BI Complete Reference

By: Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell

Overview of this book

Microsoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life. In this Learning Path, you will learn to create powerful interactive reports by visualizing your data and learn visualization styles, tips and tricks to bring your data to life. You will be able to administer your organization's Power BI environment to create and share dashboards. You will also be able to streamline deployment by implementing security and regular data refreshes. Next, you will delve deeper into the nuances of Power BI and handling projects. You will get acquainted with planning a Power BI project, development, and distribution of content, and deployment. You will learn to connect and extract data from various sources to create robust datasets, reports, and dashboards. Additionally, you will learn how to format reports and apply custom visuals, animation and analytics to further refine your data. By the end of this Learning Path, you will learn to implement the various Power BI tools such as on-premises gateway together along with staging and securely distributing content via apps. This Learning Path includes content from the following Packt products: • Microsoft Power BI Quick Start Guide by Devin Knight et al. • Mastering Microsoft Power BI by Brett Powell
Table of Contents (25 chapters)
Title Page
About Packt
Contributors
Preface
Index

Chapter 4. Leveraging DAX

Data analysis expressions (DAX) is a formula language that made its debut back in 2010 with the release of Power Pivot within Excel. Much of DAX is similar to Excel's functions, and therefore learning DAX is an easy transition for Excel users and power users. In fact, DAX is so similar to Excel that I have seen new students become comfortable with the language and begin writing DAX within minutes. 

The goal of this chapter is to introduce you to DAX and give you the confidence to start exploring this language on your own. Because of the brevity of this chapter, there will not be any discussions on in-depth DAX concepts and theory. There are, of course, many other books that are dedicated to just that.

Now, let's take a look at what is covered in this chapter:

  • Building calculated columns 
  • Calculated measures – the basics
  • Calculated measures – filter context
  • Calculated measures – time intelligence