DAX Reimagined MEAP 01 ( welcome.html)

[Farid]

English | 2025 | ISBN: 9781633434370 | 74 pages | PDF, EPUB | 2.33 MB

Use DAX to build data interactions that adapt dynamically in real time.

Data Analysis Expressions-or DAX-is the language behind Microsoft's popular data analytics tools including Power BI, Analysis Services, and the new Microsoft Fabric. DAX makes it possible to engineer interactivity into your dashboards with slicers, visuals, and filters that subtly reshape how formulas are evaluated. This book teaches you to use DAX as an interactive logic engine that adapts to users in real time to ensure results are predictable and business-correct.

In DAX Reimagined you'll learn

The core of interactive DAX
Reusable "interaction management" patterns
CALCULATE as the gateway to interactivity
USERELATIONSHIP, TREATAS, and bridge tables
Modular calculations with groups and parameter tables

DAX Reimagined isn't just another beginner's guide to the powerful DAX language. This unique book teaches you how to work with the engine to create dynamic models and adaptive dashboards. You'll discover how to design measures that stay accurate at every level-from individual rows to grand totals.
about the book
DAX Reimagined transforms how you understand and write DAX. Instead of memorizing functions or debugging "mystery totals," you'll gain a clear mental model of how DAX interactivity drives calculation. You'll explore practical, enterprise-grade patterns for multi-fact models, dynamic time intelligence, and secure, governed reporting. As you go, you'll practice what you learn through hands-on projects like creating interactive dashboards, promotion ROI analysis, and handling governance and storytelling. Each chapter focuses on repeatable techniques you can use immediately, including filter management, hierarchy-safe totals, ranking strategies, and more.

Contents of Download:

📌 DAX Reimagined MEAP 01.epub ( welcome.html) (1.25 MB)
📌 DAX Reimagined MEAP 01.pdf (welcome.html) (1.08 MB)

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⭐️ DAX Reimagined MEAP 01 ✅ (2.33 MB)
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