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Introducing Microsoft SQL Server 2019

You're reading from   Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Length 488 pages
Edition 1st Edition
Languages
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Authors (8):
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Allan Hirt Allan Hirt
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Allan Hirt
Dustin Ryan Dustin Ryan
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Dustin Ryan
Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Kellyn Gorman Kellyn Gorman
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Kellyn Gorman
Dave Noderer Dave Noderer
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Dave Noderer
Buck Woody Buck Woody
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Buck Woody
Arun Sirpal Arun Sirpal
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Arun Sirpal
James Rowland-Jones James Rowland-Jones
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James Rowland-Jones
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Toc

Table of Contents (15) Chapters Close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security FREE CHAPTER 3. High Availability and Disaster Recovery 4. Hybrid Features – SQL Server and Microsoft Azure 5. SQL Server 2019 on Linux 6. SQL Server 2019 in Containers and Kubernetes 7. Data Virtualization 8. Machine Learning Services Extensibility Framework 9. SQL Server 2019 Big Data Clusters 10. Enhancing the Developer Experience 11. Data Warehousing 12. Analysis Services 13. Power BI Report Server 14. Modernization to the Azure Cloud

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...

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