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)

12. Analysis Services

Analysis Services provides superior performance for decision support and business analytics workloads via multidimensional mode and tabular mode. Multidimensional models, sometimes referred to as cubes, were introduced with the release of SQL Server 2000, while tabular mode was introduced with SQL Server 2012. Both multidimensional and tabular mode provide the ability to create analytical data models designed to support ad hoc data exploration capabilities by centralizing and standardizing entity relationships, key performance indicators, hierarchies, calculations, and security. The data models can then be integrated with client applications such as Power BI, Excel, Power BI Report Server, and many other third-party data visualization tools to support data exploration and self-service analysis. In SQL Server 2019, Microsoft is continuing to invest in Analysis Services with improvements designed to improve performance and the user experience.