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)

Enhancements in tabular mode

SQL Server 2019 Analysis Services and AAS includes new features and capabilities to better support enterprise requirements. In this section, we will review the following enhancements and capabilities included in the latest release of Analysis Services to help you build better analytics solutions:

  • Memory settings for resource governance
  • Calculation groups
  • Dynamic format strings
  • DirectQuery
  • Bidirectional cross-filtering
  • Many-to-many relationships
  • Query interleaving with short query bias
  • Governance settings for Power BI cache refreshes
  • Online attach

Query interleaving with short query bias

Query interleaving with short query bias allows concurrent queries to share CPU resources so that faster queries are not blocked behind slower queries. Short query bias means fast queries can be allocated a higher proportion of resources than long running queries.

Query interleaving is intended to have little to no performance...