Discover the true power of DAX and build advanced DAX solutions for practical business scenarios

Key Features:Solve complex business problems within Microsoft BI tools including Power BI, SQL Server, and Excel
Develop a conceptual understanding of critical business data modeling principles
Learn the subtleties of Power BI data visualizations, evaluation context, context transition, and filtering

Book Description:
This book helps business analysts generate powerful and sophisticated analyses from their data using DAX and get the most out of Microsoft Business Intelligence tools.

Extreme DAX will first teach you the principles of business intelligence, good model design, and how DAX fits into it all. Then, you'll launch into detailed examples of DAX in real-world business scenarios such as inventory calculations, forecasting, intercompany business, and data security. At each step, senior DAX experts will walk you through the subtleties involved in working with Power BI models and common mistakes to look out for as you build advanced data aggregations.

You'll deepen your understanding of DAX functions, filters, and measures, and how and when they can be used to derive effective insights. You'll also be provided with PBIX files for each chapter, so that you can follow along and explore in your own time.

What You Will Learn:Understand data modeling concepts and structures before you start working with DAX
Grasp how relationships in Power BI models are different from those in RDBMSes
Secure aggregation levels, attributes, and hierarchies using PATH functions and row-level security
Get to grips with the crucial concept of context
Apply advanced context and filtering functions including TREATAS, GENERATE, and SUMMARIZE
Explore dynamically changing visualizations with helper tables and dynamic labels and axes
Work with week-based calendars and understand standard time-intelligence
Evaluate investments intelligently with the XNPV and XIRR financial DAX functions

Who this book is for:
Extreme DAX is written for analysts with a working knowledge of DAX in Power BI or other Microsoft analytics tools. It will help you upgrade your knowledge and work with analytical models more effectively, so you'll need practical experience with DAX before you can get started.