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Hands-On Business Intelligence with DAX

You're reading from   Hands-On Business Intelligence with DAX Discover the intricacies of this powerful query language to gain valuable insights from your data

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838824303
Length 402 pages
Edition 1st Edition
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Author (1):
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Ian Horne Ian Horne
Author Profile Icon Ian Horne
Ian Horne
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Introduction to DAX for the BI Pro
2. What is DAX? FREE CHAPTER 3. Using DAX Variables and Formatting 4. Building Data Models 5. Working with DAX in Power BI, Excel, and SSAS 6. Getting It into Context 7. Section 2: Understanding DAX Functions and Syntax
8. Progressive DAX Syntax and Functions 9. Table Functions 10. Date, Time, and Time Intelligence Functions 11. Filter Functions 12. Statistical Functions 13. Working with DAX Patterns 14. Section 3: Taking DAX to the Next Level
15. Optimizing Your Data Model 16. Optimizing Your DAX Queries 17. Other Books You May Enjoy

What is DAX?

In this chapter, you will begin your journey to mastering the use of DAX with a brief introduction to the DAX language itself. We'll look at what it is and why, as a Business Intelligence (BI) professional, you need to learn it if you want to unleash the full power of Excel Power Pivot, Analysis Services, or Power BI.

By the end of this chapter, you will be introduced to the different groups of functions and operators available and the differences between calculated columns and measures, and you will have started your understanding of evaluation contexts. This chapter will round off with a look at how you can alter how filters affect measures by using one of the most important DAX functions, the CALCULATE function.

This chapter is broken down into the following sections:

  • Introducing DAX
  • Working with data types and operators
  • Working with calculated columns and measures
  • Evaluation contexts – part 1
  • Using the CALCULATE function
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Hands-On Business Intelligence with DAX
Published in: Jan 2020
Publisher: Packt
ISBN-13: 9781838824303
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