Workplace Encounters: Using Volume Mount Points in SQL FCIs
How we overcame the A to Z Windows Drive-Letter limitation using Volume Mount Points
How we overcame the A to Z Windows Drive-Letter limitation using Volume Mount Points
Database Lifecycle Management aims to make the development and modification of databases more predictable. Bugs are the source of more unpredictability than anything else, purely because it is so difficult to guess how long it will take to fix them. Good testing at all stages may take some time and effort, but it greatly reduces likelihood of the wildcard factor of the bug that is first detected during the deployment process; or worse, that gets into the production release.
This week Steve Jones talks about the need to get away and asks if you have plans.
In part 5 of this series covering Azure SQL Data Warehouse, Arshad Ali looks at performance optimization.
In the first of a three-part series, guest bloggers from DevOpsGuys look at the real role of Ops in DevOps. Where it changes, how it changes, and why Ops...
Today Steve Jones discusses data loss, always a scary topic for the data professional.
Take the mystery out of sysschedules and interpret the data into a plain text format.
Dattatrey Sindol explains the different ways in which you can get the row counts from all the tables in a SQL Server database.
Although linear regressions can get complicated, most jobs involving the plotting of a trendline are easy. Simple Linear Regression is handy for the SQL Programmer in making a prediction of a linear trend and giving a figure for the level probability for the prediction, and what is more, they are easy to do with the aggregation that is built into SQL.
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
By James Serra
Model Context Protocol, or MCP, is one of those technical ideas that sounds more...
When starting with AWS RDS Aurora for managing relational databases in the cloud, many...
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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;
See possible answers