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DAX Cookbook

You're reading from   DAX Cookbook Over 120 recipes to enhance your business with analytics, reporting, and business intelligence

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781839217074
Length 552 pages
Edition 1st Edition
Languages
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Author (1):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
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Table of Contents (15) Chapters Close

Preface 1. Thinking in DAX 2. Dealing with Dates and Calendars FREE CHAPTER 3. Tangling with Time and Duration 4. Transforming Text and Numbers 5. Figuring Financial Rates and Revenues 6. Computing Customer KPIs 7. Evaluating Employment Measures 8. Processing Project Performance 9. Calculating Common Industry Metrics 10. Using Uncommon DAX Patterns 11. Solving Statistical and Mathematical Formulas 12. Applying Advanced DAX Patterns 13. Debugging and Optimizing DAX 14. Other Books You May Enjoy

Thinking in DAX

Many moons ago, when learning to write Perl code, I read a blog article about hashes and Perl. While that blog article has been lost to time and the ever-morphing internet, the crux of the article was that if you weren't thinking in hashes, unordered key-value pairs, then you weren't truly thinking in Perl. The theory here was that hashes were the fundamental, native, internal data structure for Perl, and so it was critical that you understood how hashes worked in order to write fast, efficient Perl code.

While I have moved far beyond Perl code in my career, the lesson of that blog article stuck in my mind as I learned new technologies. I have found it incredibly useful to understand the inner workings of new languages and how those languages think. Thus, this chapter is all about teaching you how to think the way DAX thinks. In other words, teaching you how to understand the base inner workings of DAX so that you can write fast, efficient, reliable, and supportable DAX code.

The recipes included in this chapter are as follows:

  • Using DAX in Excel, Power BI, and SQL
  • Writing good DAX
  • Using variables
  • Confronting context
  • Grouping and summarizing
  • Filtering and unfiltering
  • Exploiting relationships
  • Implementing iterators
  • Using conditional logic
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