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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

Types of Power Query M queries

In Chapter 2, Preparing Data Sources, SQL views were created, data sources configured, and the Power BI Desktop environment options applied. With these tasks accomplished, the dataset designer can finally start developing the data retrieval queries and parameters of the dataset. Power Query (M) queries are the means by which data sources are connected to and data imported into Power BI datasets. M queries are necessary to connect to data sources such as SQL views and can also perform data transformation as required.

The Power Query M language is a functional coding language more formally called the Power Query Formula Language. M includes over 700 functions that are used to connect to data and perform transformations of that data. The lines of M code that connect to and transform data are called a query.

There are a number of different types of queries that serve different purposes, including:

  • Data source parameters
  • Staging...
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