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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook - Third Edition

By : Greg Deckler, Brett Powell
4.7 (23)
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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

4.7 (23)
By: Greg Deckler, Brett 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 highlights the latest features and upcoming AI enhancements in Power BI. *Email sign-up and proof of purchase required
Table of Contents (17 chapters)
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Preface
14
Unlock Your Exclusive Benefits
15
Other Books You May Enjoy
16
Index

Engineering Data with a Lakehouse

Data lakes are a relatively recent concept with the term being coined by James Dixon in 2010 while serving as Pentaho’s Chief Technology Officer (CTO). Dixon used the term data lake to differentiate the concept from data marts and data warehouses. Whereas data marts and data warehouses hold transformed and structured data, data lakes ingest both structured and unstructured data in their original forms.

Lakehouses are an even newer architecture that seeks to combine the benefits of a data lake and a data warehouse, providing a unified platform for all types of data at scale.

Although organizations that require or prefer full support for SQL, including read and write transactions, may opt for a data warehouse as an alternative to a lakehouse, many organizations are increasingly comfortable with performing data transformations in non-SQL languages and tools, and thus, the read-only SQL endpoint of lakehouses is not an impediment to adoption...

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Microsoft Power BI Cookbook
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