The SQL Server model database is one of the core system databases, but it seem to get less attention in terms of importance. This post from Simon Liew will demonstrate the havoc the model database can cause when database integrity checks exclude the model database and corruption goes undetected.
In this article, we will learn how to use Visual Studio to query Azure SQL Data Warehouse tables and how to create a new table.
When things go wrong, how do you handle them? Steve Jones comments on crisis management using a great example from Amazon.
You can’t do everything with a columnstore index — but SQL Server’s optimizer can get pretty creative so it can use a columnstore index in ways you might not expect. Kendra Little explains.
Being unemployed is difficult. Here's something I learned to help me through it.
On both Windows and Linux, the chore of setting up a development workstation can take several days, and there always seem to be a few configuration settings that get missed. You can reduce the time and tedium dramatically by automating the process by using Vagrant to set up the operating system, followed by your choice of provisioning, configuration management and orchestration applications such as Puppet, Chef, Ansible, Salt, Docker, Chocolatey and Boxstarter. Vishwas shows how to make it easy to do with Vagrant, Chocolatey and Boxstarter.
In this example we will join two CSV files with a common column using SQL Server.
SQL Server 2016 brings native support for doing advanced analytics, using R Services, in the database itself. Arshad Ali takes a look at a detailed conceptual execution flow, executing R scripts from SQL Server Management Studio and other R client tools.
By HeyMo0sh
After working deep in cloud operations, I’ve learned that FinOps isn’t really about dashboards...
By gbargsley
Hello, dear blog reader. Today’s post is coming to you straight from the home...
By Steve Jones
This month I’m thrilled that Steve Hughes is hosting. I’ve read this Data on...
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I want to create a JSON document that contains data from this table:
TeamID TeamName City YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933If I run this code, what is returned?
SELECT json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers