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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

Implementing Dynamic User-Based Visibility in Power BI

Data security, wherein users or groups of users are prevented from viewing a portion of a semantic model, is often a top requirement in Power BI deployments. Security implementations can range in complexity from mapping a few security groups to their associated row-level security roles based on a single dimension value, such as department or region to user-based security involving DAX measures and user permission tables which retrieve the report user’s identity and filter the data model based on this identity, respectively.

Given the variety of use cases and the importance of this feature to securely share a semantic model across stakeholders, it is important to understand the process and techniques available to develop, test, and operationalize data security roles.

In addition to row-level security (RLS) roles, dynamic, user-based filter context techniques can also be used to simplify and personalize the user experience...

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