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)

Dynamic Data Masking

SQL Server 2019 provides dynamic data masking (DDM), which limits sensitive data exposure by masking it to non-privileged users. This is not really a form of encryption at disk but nevertheless is useful in certain scenarios, such as if you want to hide sections of a credit card number from support staff personnel. Traditionally, this logic would have been implemented at the application layer; however, this is not the case now because it is controlled within SQL Server.

Note

A masking rule cannot be applied on a column that is Always Encrypted.  

Types

You can choose from four different masks where selection usually depends on your data types:

  • DEFAULT: Full masking according to the data types of the designated fields
  • EMAIL: A masking method that exposes the first letter of an email address, such as [email protected]
  • RANDOM: A random masking function for use on any numeric type to mask the original value with a random value within...