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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

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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14
Other Books You May Enjoy
15
Index

Designing Column-Level Security

While not as common as row-level security (RLS), there are times when you may wish to hide particular columns in a semantic model from one group of report viewers, but not others.

While not accessible in Power BI Desktop, the Analysis Services tabular semantic model does support object-level security (OLS) for securing tables and columns. This method of securing objects currently requires third-party tools, such as Tabular Editor. In addition, this method has the advantage of securing even the metadata about the objects such that report viewers without access will not even know that the tables and columns exist in the model.

However, there are severe disadvantages to OLS as well. For example, including a column secured by OLS in a visual or measure breaks that visual or measure for users who are unable to access the OLS-secured column. Thus, it becomes difficult; if not impossible, to create reports that work for a variety of users with and...

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