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)

Writing DAX queries

Once the tabular model has been deployed to the server, the model can be made available to users for use with client tool applications. Users who will connect to the tabular database must be a member of a security role that has read access.

Typically, an end user will use a client tool application such as Excel, Power BI, Power BI Report Server, or another third-party tool, for example, to connect to a tabular database and browse the model. These types of tools will write the DAX query against the tabular database on behalf of the user as the user adds a column, measure, or filter to the report. But DAX queries can also be created using SSMS or other tools such as DAX Studio. A query defined and executed using SSMS will return the result set as a table.

Analysis Services object names are case-insensitive, so referring to the Internet Sales table as internet sales would give you the same table. See the following table for examples of how to refer to Analysis...