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Microsoft Power BI Quick Start Guide

You're reading from   Microsoft Power BI Quick Start Guide The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781804613498
Length 330 pages
Edition 3rd Edition
Languages
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Authors (4):
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Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Devin Knight Devin Knight
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Devin Knight
Bradley Schacht Bradley Schacht
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Bradley Schacht
Erin Ostrowsky Erin Ostrowsky
Author Profile Icon Erin Ostrowsky
Erin Ostrowsky
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Table of Contents (13) Chapters Close

Preface 1. Gaining Data Literacy with Power BI FREE CHAPTER 2. Connecting to Data 3. Data Transformation Strategies 4. Building the Data Model 5. Leveraging DAX 6. Visualizing Data 7. Digital Storytelling with Power BI 8. Using a Cloud Deployment with the Power BI Service 9. Data Cleansing in the Cloud with Dataflows 10. On-Premises Solutions with Power BI Report Server 11. Other Books You May Enjoy
12. Index

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 alike. In fact, DAX is so similar to Excel that we 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 limited scope 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
  • Creating calculated measures
  • Understanding filter context
  • Working with time intelligence functions
  • Role-playing...
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