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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

Leveraging Query Parameters

Query parameters are a primary component in building flexible, manageable query retrieval processes, as well as enabling simple filter selections. Hardcoded values in queries can be replaced with parameters, and a single parameter can be leveraged by multiple queries, thereby reducing development time and maintenance. Parameters are required to configure incremental data refresh policies on semantic models and are commonly used to limit the volume of data loaded to a local instance of Power BI Desktop relative to the published Power BI semantic model.

Parameters can also be useful during development in order to filter fact tables or large dimension tables to only a subset of data. Very large Power BI files can become slow and difficult to work with and thus the semantic model author can add a filter via a parameter so that only a subset of rows are loaded locally. The semantic model author can then simply revise the parameter such that all rows are...

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