
The Definitive Guide to DAX : Mastering the semantic model expression language for Microsoft Power BI, Fabric, and Excel
by Pearson Education (US)
£47.99
MPN9780138244729
Prices updated 21 May 2026
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Product Description
Seasoned Experts Alberto Ferrari and Marco Russo Help You Master DAX for Superior Business Intelligence Solutions The Definitive Guide to DAX is an authoritative resource for mastering the DAX language, which is pivotal for creating measures for semantic models in Microsoft Power BI, Fabric, Analysis Services, and Excel.With years of experience since the inception of Power Pivot, the authors offer a comprehensive reference that navigates through the unique and complex concepts of DAX, making it an essential tool for BI professionals.This third edition updates you with the latest features and provides a framework for writing efficient DAX code, enhancing your ability to customize calculations in data models.You will gain the skills necessary to understand and apply advanced DAX concepts, structure code in user-defined functions, and leverage new calendars for time intelligence calculations. By reading this book, you will: Understand the foundational concepts of DAX and its unique language structureMaster the use of evaluation contexts to enhance data analysisUtilize CALCULATE and CALCULATETABLE functions effectivelyImplement variables to simplify complex DAX expressionsLeverage classic and new calendar based time intelligence functionsWork with iterators to perform advanced calculationsApply visual calculations to improve report interactivityCreate and manage calculation groups for dynamic reportingHandle complex hierarchies and relationships in data modelsAuthor DAX queries for testing and troubleshooting About This Book For BI professionals and Excel power users eager to deepen their understanding of DAX and enhance their data modeling capabilities with advanced techniquesFor data analysts and IT specialists seeking to optimize their use of Microsoft Power BI, Fabric, Analysis Services, and Excel for more efficient and insightful data analysis
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