Book Image

Hands-On Business Intelligence with DAX

By : Ian Horne
Book Image

Hands-On Business Intelligence with DAX

By: Ian Horne

Overview of this book

Data Analysis Expressions (DAX) is known for its ability to increase efficiency by extracting new information from data that is already present in your model. With this book, you’ll learn to use DAX’s functionality and flexibility in the BI and data analytics domains. You’ll start by learning the basics of DAX, along with understanding the importance of good data models, and how to write efficient DAX formulas by using variables and formatting styles. You’ll then explore how DAX queries work with the help of examples. The book will guide you through optimizing the BI workflow by writing powerful DAX queries. Next, you’ll learn to manipulate and load data of varying complexity within Microsoft products such as Power BI, SQL Server, and Excel Power Pivot. You’ll then discover how to build and extend your data models to gain additional insights, before covering progressive DAX syntax and functions to understand complex relationships in DAX. Later, you’ll focus on important DAX functions, specifically those related to tables, date and time, filtering, and statistics. Finally, you’ll delve into advanced topics such as how the formula and storage engines work to optimize queries. By the end of this book, you’ll have gained hands-on experience in employing DAX to enhance your data models by extracting new information and gaining deeper insights.
Table of Contents (18 chapters)
1
Section 1: Introduction to DAX for the BI Pro
7
Section 2: Understanding DAX Functions and Syntax
14
Section 3: Taking DAX to the Next Level

Summary

In this chapter, we looked at the DAX formula editor in Power BI Desktop, including a look at some of the shortcut key combinations you can use to help when typing in DAX expressions. We looked at Excel Power Pivot and learned how to use it to build a data model inside an Excel workbook, much like we did using Power BI Desktop. We then learned how to import that data model into an SSDT project and how to extend it using DAX. We then deployed the data model to an instance of SSAS Tabular. Finally, we learned how to query the data once it was in the SSAS Tabular database, using SSMS.

In the next chapter, we will return to the subject of the evaluation context, moving beyond what we learned in Chapter 1, What is DAX? We will take a more in-depth look at the difference between the row context and the filter context, and how these affect DAX functions.

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