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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

SQLServerCentral Article

Worst Practices - Objects Not Owned by DBO

Last week Andy launched a new series about Worst Practices by talking about why the Hungarian naming convention is bad for column names. This week he's at it again, declaring that the practice of having objects owned by anyone other than dbo is BAD! Agree or disagree, we think you'll enjoy reading this article and adding your thoughts to the discussion!

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2019-08-01 (first published: )

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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

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Adding and Dropping Columns II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Adding and Dropping Columns II

Leveraging DuckDB for OLAP Workloads: The Fabric Modern Data Platform

By John Miner

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More Documentation is Needed

By Steve Jones - SSC Editor

Comments posted to this topic are about the item More Documentation is Needed

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Question of the Day

Adding and Dropping Columns II

I have this table in my SQL Server 2022 database:

CREATE TABLE [dbo].[CityList]
(
[CityNameID] [int] NOT NULL IDENTITY(1, 1),
[CityName] [varchar] (30) ,
[Country2] [char] (3),
[stateprovince2] [char] (2),
[Country] [char] (3),
[stateprovince] [char]
) ON [PRIMARY]
GO
I decide to drop the stateprovince2 and country2 columns. What code should I use?

See possible answers