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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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14
Other Books You May Enjoy
15
Index

Designing a Semantic Model

The self-service, low-code nature of Power BI tools and services lend themselves to rapid, agile development in which significant data insights can be obtained quickly despite both imperfect data sources and an incomplete understanding of business requirements and use cases. However, rushing through the design phase can undermine the sustainability of the solution, as future needs cannot be met without structural revisions to the model or complex workarounds. A balanced design phase in which fundamental decisions, such as DirectQuery versus in-memory, are analyzed, while simultaneously using a limited prototype model to generate visualizations and business feedback can address both short- and long-term needs.

This recipe describes a process for designing a semantic model and identifies some of the primary questions and factors to consider while doing so.

Getting ready

Visually and analytically impressive examples of Power BI’s reporting...

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Microsoft Power BI Cookbook
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