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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook - Third Edition

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

Microsoft Power BI Cookbook

4.7 (23)
By: Greg Deckler, 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 not only updates you on the latest features but also prepares you for future innovations with a preview of upcoming AI enhancements in Power BI. Whether you're refining your skills or aspiring to become an expert, this book is an invaluable resource for leveraging Power BI to its fullest potential
Table of Contents (16 chapters)
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Other Books You May Enjoy
15
Index

Simplifying Date Intelligence with DAX and Calculated Tables

In addition to the M query transformations described earlier in this chapter, DAX table functions can also be used in Power BI import mode semantic models to enhance and simplify date intelligence. DAX queries can access existing tables in the semantic model, and the tables evaluated during refresh can be used in relationships and measure calculations like all other tables.

Similar to calculated columns, calculated tables should be rarely used—given the transformation capabilities of M, SQL, and ETL tools—but can be valuable supplements to models for small tables, such as role-playing date dimensions and bridge tables.

This recipe provides an example of using DAX calculated tables to support role-playing date dimensions. Additionally, a single-row table is created via DAX to simplify common date intelligence measures.

Getting ready

To prepare for this recipe, follow these steps:

    ...
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