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)

Copying data to Azure SQL Data Warehouse

To copy data from on-premises to Azure data stores, we can use Copy Activity. Copy Activity supports a wide variety of data sources including SQL Server, Oracle, MySQL, Salesforce, and files.

Note

To find a complete list of supported data sources and destinations for Copy Activity, refer to the following documentation: https://docs.microsoft.com/en-us/azure/data-factory/v1/data-factory-data-movement-activities.

For example, you could copy data from an on-premises SQL Server instance to Azure SQL Data Warehouse using the following steps:

  1. First, open the Azure portal (https://portal.azure.com). Then, click Create a resource in the top left. In the search bar, type "Data Factory" and press Enter. Select the Data Factory resource and then click Create. Complete the form to create a new Data Factory instance. Enter a globally unique name and select the subscription. Select whether you'd like to create a new resource...