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Practical steps for end-to-end data protection

If you plan to make production data available for development and test purposes, you'll need to understand which columns contain personal or sensitive data, create a data catalog to record those decisions, devise and implement a data masking, and then provision the sanitized database copies. Richard Macaskill show how to automate as much of this process as possible.

2019-08-02

External Article

Introduction to Running SQL Server 2019 on Kubernetes

The release of SQL Server 2019 further extends the ability to host SQL Server instances on Linux, including running Docker-based SQL Server images on Kubernetes clusters. This latest release further extends the multi-platform capabilities by allowing for Kubernetes-based deployments of SQL Server Always On Availability Groups, delivering increased level of resiliency. Read on to learn more about the basic characteristics of these deployments!

2019-07-30

Blogs

T-SQL Tuesday #196 – Two risky career decisions I made

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The T-SQL Tuesday topic this month comes James Serra. What career risks have you...

T-SQL Tuesday #192: What career risks have you taken?

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This T-SQL Tuesday is hosted by the one and only James Serra – literally...

T-SQL Tuesday #196: Taking Risks

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This month we have a new host, James Serra. I’ve been trying to find...

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would it be so terrible to install ssms on a few user desktops?

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Question of the Day

Restoring On Top I

I am doing development work on a database and want to keep a backup so I can reset my database. I make some changes and want to restore over top of my changes. When I run this code, what happens?

USE Master
BACKUP DATABASE DNRTest TO DISK = 'dnrtest.bak'
GO

USE DNRTest
GO
CREATE TABLE MyTest(myid INT)
GO
USE master
RESTORE DATABASE DNRTest FROM DISK = 'dnrtest.bak' WITH REPLACE

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