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)

Partitioning

Beginning with the release of SQL Server 2005, SQL Server has supported table and index partitioning, which allows the data of partitioned tables and indexes to be spread across multiple filegroups in a database. The data is partitioned horizontally so that groups of rows are mapped into partitions using a partition function that defines the range of values in a partition. Partitions can also be stored on separate filegroups to further increase the scalability of a workload, improve performance, and ease maintenance operations:

Figure 11.1: A well-designed partition strategy can improve data loading and querying performance while also easing maintenance of large volumes of data
Figure 11.1: A well-designed partition strategy can improve data loading and querying performance while also simplifying the maintenance of large volumes of data

Partitioning large tables or indexes can provide benefits that can improve manageability and increase performance, especially in the case of data warehouse workloads that often deal with large volumes of data.

Transferring or accessing subsets of data quickly...