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 Azure SQL Data Warehouse

Azure SQL Data Warehouse democratizes massively parallel processing (MPP) capabilities and enables organizations of all sizes to take advantage of petabyte-scale data warehouse processing on demand. SQL Data Warehouse is a cloud-based enterprise data warehouse specifically built and optimized for data warehouse workloads for systems with small to very large amounts of data. Because SQL Data Warehouse leverages distributed compute and storage resources, SQL Data Warehouse allows queries to scale out and take advantage of parallel processing for large, complex, analytical queries.

Azure SQL Data Warehouse includes four components that make up the architecture, as shown in Figure 11.3:

Figure 11.3: SQL Data Warehouse includes four main components
Figure 11.3: SQL Data Warehouse includes four main components

Control node

The control node is an Azure SQL database that coordinates data movement and computational workloads in a data warehouse. The control node receives the...