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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

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Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...

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Creating a JSON Document IV

By Steve Jones - SSC Editor

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Question of the Day

Creating a JSON Document IV

I have this data in a table called dbo.NFLTeams

TeamID  TeamName       City             YearEstablished
------  --------       ----             ---------------
1       Cowboys        Dallas           1960
2       Eagles         Philadelphia     1933
3       Packers        Green Bay        1919
4       Chiefs         Kansas City      1960
5       49ers          San Francisco    1946
6       Broncos        Denver           1960
7       Seahawks       Seattle          1976
8       Patriots       New England      1960
If I run this code, how many rows are returned?
SELECT 
  YearEstablished,
  json_objectagg(city : TeamName)
FROM dbo.NFLTeams
GROUP BY  YearEstablished;

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