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Introducing Microsoft SQL Server 2019

You're reading from   Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Length 488 pages
Edition 1st Edition
Languages
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Authors (8):
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Allan Hirt Allan Hirt
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Allan Hirt
Dustin Ryan Dustin Ryan
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Dustin Ryan
Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Kellyn Gorman Kellyn Gorman
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Kellyn Gorman
Dave Noderer Dave Noderer
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Dave Noderer
Buck Woody Buck Woody
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Buck Woody
Arun Sirpal Arun Sirpal
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Arun Sirpal
James Rowland-Jones James Rowland-Jones
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James Rowland-Jones
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Table of Contents (15) Chapters Close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security FREE CHAPTER 3. High Availability and Disaster Recovery 4. Hybrid Features – SQL Server and Microsoft Azure 5. SQL Server 2019 on Linux 6. SQL Server 2019 in Containers and Kubernetes 7. Data Virtualization 8. Machine Learning Services Extensibility Framework 9. SQL Server 2019 Big Data Clusters 10. Enhancing the Developer Experience 11. Data Warehousing 12. Analysis Services 13. Power BI Report Server 14. Modernization to the Azure Cloud

SQL Data Discovery and Classification

The Data Discovery and Classification feature enables you to identify, classify, and label data held across your SQL Server estate. The sheer volume of data now held within databases makes this a challenging process, coupled with the fact that regulatory mandates such as GDPR, SOX, and PCI demand that businesses protect sensitive data. So you can see how this feature will help. Before you can develop a security strategy for your SQL Server databases, it makes logical sense to know what data you hold, and from this you can then classify and label the more sensitive data and implement the relevant security controls, therefore minimizing potential sensitive data leaks.

Key components for this feature include two metadata attributes, labels and information types. Labels are used to define the sensitivity of data. Information types are used to provide additional granularity into the types of data stored in a column. As you can see in Figure 2.1...

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Introducing Microsoft SQL Server 2019
Published in: Apr 2020
Publisher: Packt
ISBN-13: 9781838826215
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