Master the power of DAX and data modeling in Power BI to elevate your data analysis skills. This comprehensive guide covers essential functions, advanced techniques, and practical examples for mastering business analytics.
Key Features
Comprehensive coverage of DAX functions
Step-by-step progression from basics to advanced topics
Practical examples to reinforce learning
Book Description
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.
What you will learn
Create and load data models
Master DAX functions
Utilize filter propagation
Implement time intelligence
Transition context efficiently
Transfer DAX skills to Excel
Who this book is for
This book is ideal for data analysts, business intelligence professionals, and Power BI users looking to deepen their understanding of DAX and data modeling. A basic understanding of Power BI and familiarity with data analysis concepts are recommended.
Table of Contents
Concept: Introduction to Data Modelling
Concept: Loading Data
Concept: Measures
DAX Topic: SUM(), COUNT(), COUNTROWS(), MIN(), MAX(), COUNTBLANK(), and DIVIDE()
Concept: Filter Propagation
Concept: Lookup Tables and Data Tables
DAX Topic: Calculated Columns
DAX Topic: The Basic Iterators SUMX() and AVERAGEX()
DAX Topic: CALCULATE()
DAX Topic: Making DAX Easy to Read
Concept: Evaluation Context and Context Transition
DAX Topic: IF(), SWITCH(), and FIND()
DAX Topic: VALUES(), HASONEVALUE(), SELECTEDVALUE(), and CONCATENATEX()
DAX Topic: ALL(), REMOVEFILTERS(), ALLEXCEPT(), and ALLSELECTED()