DAX Cookbook

More Information
Learn
  • Understand how to create common calculations for dates, time, and duration
  • Create key performance indicators (KPIs) and other business calculations
  • Develop general DAX calculations that deal with text and numbers
  • Discover new ideas and time-saving techniques for better calculations and models
  • Perform advanced DAX calculations for solving statistical measures and other mathematical formulas
  • Handle errors in DAX and learn how to debug DAX calculations
  • Understand how to optimize your data models
About

DAX provides an extra edge by extracting key information from the data that is already present in your model. Filled with examples of practical, real-world calculations geared toward business metrics and key performance indicators, this cookbook features solutions that you can apply for your own business analysis needs.

You'll learn to write various DAX expressions and functions to understand how DAX queries work. The book also covers sections on dates, time, and duration to help you deal with working days, time zones, and shifts. You'll then discover how to manipulate text and numbers to create dynamic titles and ranks, and deal with measure totals. Later, you'll explore common business metrics for finance, customers, employees, and projects. The book will also show you how to implement common industry metrics such as days of supply, mean time between failure, order cycle time and overall equipment effectiveness. In the concluding chapters, you'll learn to apply statistical formulas for covariance, kurtosis, and skewness. Finally, you'll explore advanced DAX patterns for interpolation, inverse aggregators, inverse slicers, and even forecasting with a deseasonalized correlation coefficient.

By the end of this book, you'll have the skills you need to use DAX's functionality and flexibility in business intelligence and data analytics.

Features
  • Learn to write sophisticated DAX queries to solve business intelligence and data analytics challenges
  • Handle performance issues and optimization within the data model, DAX calculations and more
  • Solve business issues with Microsoft Excel, Power BI, and SQL Server using DAX queries
Page Count 552
Course Length 16 hours 33 minutes
ISBN 9781839217074
Date Of Publication 18 Mar 2020

Authors

Greg Deckler

Greg Deckler is Vice President of the Microsoft Practice at Fusion Alliance and has been a professional technology systems consultant for over 25 years. Internationally recognized as an expert in Power BI, Greg Deckler is a Microsoft MVP for Data Platform and a superuser within the Power BI community with over 100,000 messages read, more than 11,000 replies, over 2,300 answers, and more than 75 entries in the Quick Measures Gallery. Greg founded the Columbus Azure ML and Power BI User Group (CAMLPUG) and presents at numerous conferences and events, including SQL Saturday, DogFood, and the Dynamic Communities User Group/Power Platform Summit.