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)

Using Azure Data Factory

Azure Data Factory (ADF) is a highly available, fault-tolerant, cloud-based data integration service that automates the movement and transformation of data assets between your on-premises network and Azure data services based on a defined schedule or trigger. ADF supports the ingestion of a large variety of data sources, including structured or unstructured data sources, which makes ADF ideal for modern data warehouse implementations in Azure. Because ADF is natively integrated with other Azure Data Services, such as Azure SQL Data Warehouse, Azure Databricks, and Azure Storage, using ADF to automate data movement and transformation across a modern data ecosystem built in Azure becomes very easy. Azure Data Factory is the go-to data movement tool for automating the load of Azure SQL Data Warehouse.

New capabilities in ADF

The latest enhancements to ADF (ADF v2) were made generally available in June 2018. ADF v2 introduced a host of new capabilities.

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