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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
Author Profile Icon James Rowland-Jones
James Rowland-Jones
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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

Introduction to multidimensional models

SQL Server Analysis Services multidimensional models use cube structures to analyze and explore data across dimensions. Multidimensional mode is the default server mode for SQL Server Analysis Services and includes a query and calculation engine for online analytical processing (OLAP) data with multiple storage modes to balance performance with data scalability requirements:

Figure 12.2: Multidimensional models feature cube modeling constructs, including measure groups, dimensions, and relationships

Like when developing a tabular model, the common workflow for developing and deploying a multidimensional model is to use SSDT for Visual Studio or Visual Studio with Analysis Services extensions to design the model, deploy the model as a database to a SQL Server Analysis Services server, configure in multidimensional mode, schedule the automatic reprocessing of the data model using SQL Server Integration Services and SQL...

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