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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

Leveraging Query Parameters

Query parameters are a primary component in building flexible, manageable query retrieval processes, as well as enabling simple filter selections. Hardcoded values in queries can be replaced with parameters, and a single parameter can be leveraged by multiple queries, thereby reducing development time and maintenance. Parameters are required to configure incremental data refresh policies on semantic models and are commonly used to limit the volume of data loaded to a local instance of Power BI Desktop relative to the published Power BI semantic model.

Parameters can also be useful during development in order to filter fact tables or large dimension tables to only a subset of data. Very large Power BI files can become slow and difficult to work with and thus the semantic model author can add a filter via a parameter so that only a subset of rows are loaded locally. The semantic model author can then simply revise the parameter such that all rows are...

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