Book Image

Introducing Microsoft SQL Server 2019

By : Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody
Book Image

Introducing Microsoft SQL Server 2019

By: Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody

Overview of this book

Microsoft SQL Server comes equipped with industry-leading features and the best online transaction processing capabilities. If you are looking to work with data processing and management, getting up to speed with Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you through the latest features in SQL Server 2019 and their importance. You will learn to unlock faster querying speeds and understand how to leverage the new and improved security features to build robust data management solutions. Further chapters will assist you with integrating, managing, and analyzing all data, including relational, NoSQL, and unstructured big data using SQL Server 2019. Dedicated sections in the book will also demonstrate how you can use SQL Server 2019 to leverage data processing platforms, such as Apache Hadoop and Spark, and containerization technologies like Docker and Kubernetes to control your data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and understand how to use them confidently to build robust data management solutions.
Table of Contents (15 chapters)

Using variables in DAX

Analysis Services DAX expressions also support using variables to simplify complex expressions by separating a single expression into a series of more easily understood expressions. As previously mentioned, variables also allow a given DAX expression to reuse logic within the same expression, which could improve query performance.

Variables can be defined anywhere in a DAX expression and for any data type, including tables, using the following syntax:

VARIABLENAME = RETURNEDVALUE 

To create a variable definition, use the VAR keyword, as seen in the following code sample:

= VAR 
   SumQuantity = SUM('Internet Sales'[Order Quantity])
RETURN 
   IF(
      SumQuantity > 1000,
      SumQuantity * 0.95,
      SumQuantity * 1.10
   )

A DAX expression can have as many variables as the model author needs. Each variable will...