Books / Allington Supercharge Power BI

Power BI is Better When You Learn To Write DAX
1. Auflage 2025
ISBN: 978-1-83664-302-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 292 Seiten

This guide is designed to empower Power BI users with advanced skills in data modeling and DAX. It begins with an introduction to the foundational concepts of data modeling, where you'll learn how to structure your data for optimal performance and analysis. You'll then progress to mastering essential DAX functions, including iterators, filters, and time intelligence. These chapters will help you create sophisticated calculations that bring your data to life.
As you advance, the guide delves into more complex topics like evaluation context, context transition, and disconnected tables. These concepts are crucial for understanding how DAX formulas interact with your data, enabling you to build more accurate and insightful reports. The guide also covers practical applications, such as transferring DAX skills to Excel and using advanced Power BI features like Analyze in Excel and Cube Formulas.
By the end of this book, you'll have a deep understanding of both data modeling and DAX, equipping you with the knowledge to tackle complex data challenges. Whether you're working on business intelligence projects or enhancing your data analysis capabilities, this guide will give you the tools to excel in Power BI.

Autoren/Hrsg.

Books, MrExcel's Holy Macro!

Allington, Matt

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

Books MrExcel's Holy Macro! :

Holy Macro! Books has been providing top-quality books on Excel, Power Query, and Power BI since 2002. They have published over 100 titles by 30 authors, including numerous Microsoft MVPs.Allington Matt :

Matt Allington is a Microsoft Data Platform MVP specializing in teaching and helping business users leverage the Power BI suite of tools to achieve positive business outcomes. Matt has a unique work experience history having spent 15 years working in commercial roles using data, and 10 years working in IT roles supporting business users to get the data they need. A combination of this work history and Matt's rare skill and ability to clearly explain technical concepts makes this book such a valuable stand-alone learning resource.