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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook - Third Edition

By : Greg Deckler, Brett Powell
4.7 (23)
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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

4.7 (23)
By: Greg Deckler, Brett Powell

Overview of this book

Since its first edition the Power BI Cookbook has been a best-selling resource for BI developers and data analysts to produce impactful, quality BI solutions. This new and updated edition retains the rigorous details and concepts readers of prior editions have enjoyed while also demonstrating powerful new capabilities and updated guidance aligned to the current state of the platform. In this book, with step-by-step instructions, you will learn to navigate the complexities of data integration and visualization in Power BI. From creating robust data models to implementing sophisticated reporting techniques, this Power BI book empowers you to make informed decisions based on actionable insights. It also introduces you to new capabilities such as Hybrid tables and scorecards, enhancing your ability to communicate and analyze business performance. It also expands and improvises on the core of the previous edition like parameterizing Power BI solutions, authoring reports, data intelligence, and integrating advanced analytics. This edition highlights the latest features and upcoming AI enhancements in Power BI. *Email sign-up and proof of purchase required
Table of Contents (17 chapters)
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Preface
14
Unlock Your Exclusive Benefits
15
Other Books You May Enjoy
16
Index

Creating Custom Columns

Business users often extend the outputs of existing reports and data models with additional columns to help them analyze and present data. The logic of these columns is generally implemented through Excel formulas or as calculated DAX columns. A superior solution, particularly if the logic cannot be migrated to a data warehouse or IT resource, is to create the columns via Power Query Editor and the M language.

Developing custom columns can also significantly enhance the ease of use and analytical power of data models and the visualizations they support. In this recipe, columns are created to apply a custom naming format and simplify the analysis of a customer dimension via existing columns.

Getting ready

To get ready for this recipe, import the DimCustomer table from the AdventureWorksDW2022 database by doing the following:

  1. Open Power BI Desktop and choose Transform data from the ribbon of the Home tab to open Power Query Editor.
  2. ...
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