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Power Query Cookbook

You're reading from   Power Query Cookbook Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800569485
Length 412 pages
Edition 1st Edition
Languages
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Author (1):
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Andrea Janicijevic Andrea Janicijevic
Author Profile Icon Andrea Janicijevic
Andrea Janicijevic
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Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Power Query 2. Chapter 2: Connecting to Fetch Data FREE CHAPTER 3. Chapter 3: Data Exploration in Power Query 4. Chapter 4: Reshaping Your Data 5. Chapter 5: Combining Queries for Efficiency 6. Chapter 6: Optimizing Power Query Performance 7. Chapter 7: Leveraging the M Language 8. Chapter 8: Adding Value to Your Data 9. Chapter 9: Performance Tuning with Power BI Dataflows 10. Chapter 10: Implementing Query Diagnostics 11. Other Books You May Enjoy

Chapter 7: Leveraging the M Language

Power Query is based on M language, which stands for Power Query Formula Language. Every time you perform a Power Query step, you are essentially writing M code. You can leverage the UI to transform your data without learning any M language at all but gaining an understanding of it could help you to customize even more Power Query transformations and perform quick corrections that are not possible with the UI only.

In this chapter, we will give an outline of M coding, explaining its differences from Data Analysis Expression (DAX) language (a familiar language to Power BI users), and you will see how to use M code on existing queries and how to create queries from scratch.

You will explore M coding examples through the following recipes:

  • Using M syntax and the Advanced Editor
  • Using M and DAX – differences
  • Using M on existing queries
  • Writing queries with M
  • Creating tables in M
  • Leveraging M – tips and...
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