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Microsoft Power BI Cookbook

You're reading from   Microsoft Power BI Cookbook Convert raw data into business insights with updated techniques, use cases, and best practices

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835464274
Length 598 pages
Edition 3rd Edition
Languages
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Authors (2):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
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Toc

Table of Contents (16) Chapters Close

Preface 1. Installing and Licensing Power BI Tools FREE CHAPTER 2. Accessing, Retrieving, and Transforming Data 3. Building a Power BI Semantic Model 4. Authoring Power BI Reports 5. Working in the Power BI Service 6. Getting Serious About Date Intelligence 7. Parameterizing Power BI Solutions 8. Implementing Dynamic User-Based Visibility in Power BI 9. Applying Advanced Analytics and Custom Visuals 10. Enhancing and Optimizing Existing Power BI Solutions 11. Deploying and Distributing Power BI Content 12. Integrating Power BI with Other Applications 13. Working with Premium and Microsoft Fabric 14. Other Books You May Enjoy
15. Index

Diagnosing Queries

The Power Query M engine is an extremely powerful and fast data transformation and data preparation engine used across an array of products, including:

  • Excel for Windows
  • Excel for Mac
  • Power BI
  • Power Apps
  • Power Automate
  • ADF
  • SSIS
  • SQL Server Analysis Services
  • Dynamics 365 Customer Insights

While both fast and powerful, there are times when you may find that a particular query is not as performant as desired. In these instances, Query Diagnostics can help you pinpoint problematic expressions and better understand what Power Query is doing in order to identify areas for query optimization. This recipe demonstrates how a user can use Query Diagnostics to troubleshoot a query and identify how the query might be optimized to be more performant.

Getting ready

To get ready, import the FactCurrencyRate table from the AdventureWorksDW2022 database by doing the following:

  1. Open Power BI Desktop...
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