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  • Book Overview & Buying Microsoft Power BI Cookbook
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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

Creating a Data Warehouse

Gartner defines a data warehouse as follows:

A data warehouse is a storage architecture designed to hold data extracted from transaction systems, operational data stores, and external sources. The warehouse then combines that data in an aggregate, summary form suitable for enterprise-wide data analysis and reporting for predefined business needs.”

Data warehouses have been a staple of business intelligence architectures for decades given their ability to deliver a central and single source of truth for use by a variety of applications and use cases. By handling data quality and integration needs in powerful upstream tools like Azure Data Factory pipelines and producing a consolidated set of dimension and fact tables with surrogate keys for relationships/joins via familiar SQL queries and support for historical tracking, a well-designed and managed data warehouse remains a highly valuable asset.

Regardless of the specific history...

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Microsoft Power BI Cookbook
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