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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

Improving Data Load Speeds with Incremental Refresh

Incremental refresh for semantic models is a feature originally released for Power BI Premium capacities but has become a feature for Pro licenses as well. Note that while incremental refresh for semantic models is now available as a Pro feature, incremental refresh for dataflows is a premium-only feature. Prior to incremental refresh, Power BI only had a single mode of operation when refreshing semantic models: full load. In other words, the existing data in the semantic model was removed and entirely replaced each time the semantic model refreshed. The full load refresh process could take a long time when dealing with large fact tables with millions of rows. Incremental refresh solves this problem by only refreshing new and changed data within the semantic model. Since incremental refresh is relatively new, older semantic models are likely still using the full load process, and thus might benefit from being retrofitted with incremental...

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