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Mastering Microsoft Power BI

You're reading from   Mastering Microsoft Power BI Expert techniques for effective data analytics and business intelligence

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788297233
Length 638 pages
Edition 1st Edition
Languages
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Author (1):
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Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
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Table of Contents (15) Chapters Close

Preface 1. Planning Power BI Projects FREE CHAPTER 2. Connecting to Sources and Transforming Data with M 3. Designing Import and DirectQuery Data Models 4. Developing DAX Measures and Security Roles 5. Creating and Formatting Power BI Reports 6. Applying Custom Visuals, Animation, and Analytics 7. Designing Power BI Dashboards and Architectures 8. Managing Application Workspaces and Content 9. Managing the On-Premises Data Gateway 10. Deploying the Power BI Report Server 11. Creating Power BI Apps and Content Distribution 12. Administering Power BI for an Organization 13. Scaling with Premium and Analysis Services 14. Other Books You May Enjoy

Query folding

Query folding is one of the most powerful and important capabilities of the M language as it translates M expressions into SQL statements that can be executed by the source system. With query folding, M serves as an abstraction layer to implement both common and complex data cleansing and transformation operations while still leveraging source system resources. When implementing any remaining logic or data transformations via M functions, a top priority of the dataset designer is to ensure that these operations are folded to the data source.

In the following M query, a Table.RemoveColumns() M function is applied against the SQL view for the Internet Sales fact table to exclude three columns that are not needed for the dataset:

Power Query Editor: View Native Query

The additional step is translated to a SQL query that simply doesn't select the three columns...

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