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)

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...