Book Image

SQL Server on Linux

Book Image

SQL Server on Linux

Overview of this book

Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud. This book is your handy guide to setting up and implementing your SQL Server solution on the open source Linux platform. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. Then you will brush up your SQL Server skills by creating and querying database objects and implementing basic administration tasks to support business continuity, including security and performance optimization. This book will also take you beyond the basics and highlight some advanced topics such as in-memory OLTP and temporal tables. By the end of this book, you will be able to recognize and utilize the full potential of setting up an efficient SQL Server database solution in your Linux environment.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Chapter 9. Implementing Data Protection

Security is a hot topic today. When it comes to the database level, the consequences can be a lot bigger compared to the classic attack on network resources. This is because when all security elements fail (for instance, installation, authentication, authorization, bad access policy, and so on), all that is left is the data. In other words, if database records containing critical information are not protected, then all security elements are irrelevant.

This chapter is focused on data protection using built-in encryption features in SQL Server on Linux. If you want to prevent and minimize consequences of data breach, then this is the right chapter for you. Also, this chapter will teach you how to protect your data assets from inside threats in the form of internal malicious users.

In this chapter, you will learn the following:

  • Crash course in cryptography
  • Transparent Data Encryption
  • Backup encryption
  • Symmetric encryption
  • Row-level security
  • Dynamic data masking...