Some of the terms in the DevOps pipeline, such as CI and CD, can be confusing. In the second article of this series, Robert Sheldon explains these terms and how they fit in the DevOps pipeline. He also talks about some of the tools you might use.
The newest version of Data Masker for SQL Server includes a new rules window with in-product guidance for choosing the right rule, and a new menu bar for fast access to the items you need.
Microsoft announced CTP 3.2 for SQL Server 2019 just a few days ago, but many people working with SQL Server don’t care about this. I run into people at user group meetings and SQL Saturdays who are stuck supporting versions as old as SQL Server 2000, and SQL Server 2008 R2 is still prevalent. I’m […]
Running Interactive and Batch SQL Queries on Hadoop and other distributed clusters using SQL.
In this post we will discuss Azure Data Factory transformation related pipeline activities using Stored Procedure activity.
If we want the behavior and performance of our test databases to mimic that observed in production, then we must consider not only the database but also the server. Grant Frtichey reviews the server-level objects, settings and features that we may need to consider, and then shows how to 'synchronize' the linked servers, user logins and SQL Agent jobs, as part of an automated provisioning process, using SQL Provision.
Explaining how computers work can be hard for technical people, but it's important for us to help our clients, customers, and managers appreciate why building new software is hard.
Cross database queries in Azure SQL Database aren't as straightforward as you might think, but they aren't hard to implement. Follow along to learn how to implement them.
There are those who argue that time doesn’t really exist; it’s just an illusion. That debate won’t keep you from storing and manipulating dates and time in SQL Server. In this article, Joe Celko discusses some of the many ways that SQL Server treats temporal data types.
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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 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
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