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Mastering Microsoft Power BI – Second Edition - Second Edition

You're reading from  Mastering Microsoft Power BI – Second Edition - Second Edition

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781801811484
Pages 712 pages
Edition 2nd Edition
Languages
Authors (2):
Gregory Deckler Gregory Deckler
Profile icon Gregory Deckler
Brett Powell Brett Powell
Profile icon Brett Powell
View More author details

Table of Contents (18) Chapters

Preface 1. Planning Power BI Projects 2. Preparing Data Sources 3. Connecting to Sources and Transforming Data with M 4. Designing Import, DirectQuery, and Composite Data Models 5. Developing DAX Measures and Security Roles 6. Planning Power BI Reports 7. Creating and Formatting Visualizations 8. Applying Advanced Analytics 9. Designing Dashboards 10. Managing Workspaces and Content 11. Managing the On-Premises Data Gateway 12. Deploying Paginated Reports 13. Creating Power BI Apps and Content Distribution 14. Administering Power BI for an Organization 15. Building Enterprise BI with Power BI Premium 16. Other Books You May Enjoy
17. Index

Creating Power Query M queries

As mentioned, the M language is a functional programming language that includes over 700 functions. Similar to other programming languages, M has its own specific syntax, structure, operators, and data types that must be used when coding. Experienced Power Query (M) developers, for example, are very familiar with Lists, Records, and Tables and common use cases and M functions available for working with these specific types.

While a full exploration of the entire M language is beyond the scope of this book, there are a number of important subjects regarding M that we cover in the following sections as well as providing readers with examples of more complex M queries. For readers interested in fully understanding the M language, we refer them to the official Power Query M language specification found here: https://bit.ly/3vmFSyr.

We’ll first take a look at numeric data types in M.

Numeric data types

For structured data sources, such...

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