In this post, Tim Smith looks at the different options you can use to audit your SQL Server extracts and loads during the ETL process.
You will see here a way to handle history tables. This way only takes into account Date-based data cleanup but is easily generalizable.
This week Steve asks you to make sure you practice your restore skills periodically.
Steve Jones saw a database design test for developers, but he's never been given one.
What native SQL Server options are available to export to Excel? Jeremy Kadlec explains.
This week Steve Jones wonders what you might do if you discovered data corruption.
Using R to detect outliers is relatively easy, but most methods assume your data is normally distributed. How do you handle skewed datasets?
Tim Radney of SQLskills walks through multiple automation methods you can use to manage and maintain your Azure SQL Databases.
Good documentation gets you started. Good books get you deep. After years of working...
By Vinay Thakur
In previous posts, we looked at the SQL Server engine. for us DBAs, the...
By Arun Sirpal
You have used Claude. But which Claude? The Claude app (claude.ai, the desktop and...
Comments posted to this topic are about the item Creating a JSON Document IV
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Restoring Azure Key Vault Keys...
When the schema of an object is changed, SQL Server wipes out the previous...
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 YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers