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Implementing Continuous Integration for Databases

Continuous integration (CI) is becoming more and more common in application development. It ensures code and related resources are integrated regularly and tested by an automated build system, and highlights problems early in the development process. But what about database development? Can the same advantages of CI be applied to production databases? Where do you start? How do you tackle it? Sjors Takes relates his experience.

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How to Create Ten 200GB Test Databases in 60 Seconds

In a recent survey run SQL Server Central, 58% of respondents admitted that their test database is an exact copy of their production database. Many of these respondents concede that they should be removing sensitive data, but aren’t. It seems that the desire to have realistic data will, for many, trump the requirement to keep sensitive data out of development and test environments. In this blog post, Redgate's Jason Crease introduces the new 'SQL Instant Clone' and explains how it could help.

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Question of the Day

Creating a JSON Document III

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 TOP 2 
  json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;

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