External Article

Five database DevOps practices for boosting team productivity

Speed of delivery and protecting data can often feel incompatible, but there are industry-proven database DevOps practices that bring them together in harmony.

Across each of these five key practices, there’s a theme of removing barriers and cognitive load for teams; but crucially, they are also putting safeguards in place to reduce the risks to production environments.

Blogs

Identity Columns Can’t Be Updated: #SQLNewBlogger

By

I’m not sure I knew identity column values could not be updated. I ran...

Rolling Back a Broken Release

By

We had an interesting discussion about deployments in databases and how you go forward...

A bespoke reporting solution doesn’t have to cost the earth

By

You could be tolerating limited reporting because there isn’t an off the shelf solution...

Read the latest Blogs

Forums

SELECT COUNT(DISTINCT) returns null when nothing is found instead of 0

By tim8w

SELECT COUNT(DISTINCT Component) AS Found FROM tblComponents WHERE(Component NOT LIKE '%[a-z]%') AND(LTRIM(RTRIM(Component)) = 'GM13622')...

Remotely Engineer Fabric Lakehouse objects: The Fabric Modern Data Platform

By John Miner

Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...

Creating JSON III

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Creating JSON III

Visit the forum

Question of the Day

Creating JSON III

In a SQL Server 2025 table, called Beer, I have this data:

BeerIDBeerName
1Becks
2Fat Tire
3Mac n Jacks
4Alaskan Amber
8Kirin
I run this code:
SELECT JSON_OBJECTAGG(
    BeerID: BeerName )
FROM beer;
What are the results?

See possible answers