Additional Articles


External Article

How We Ate Our ​Own Dog Food​ To Level-Up Internal Testing with Redgate Clone

Most applications have large and complex databases at the back end, making it hard for developers to adequately test their work before it goes out. Having a fast, repeatable process to deliver data on demand is an essential part of an effective software development lifecycle, ultimately leading to improved customer satisfaction. In this article, we’ll explore the journey our own engineering team went on to leverage our own tool, Redgate Clone, to spin up short-lived database instances in containers for automated testing.

2023-10-25

Technical Article

Top 10 Methods to Improve ETL Performance Using SSIS

Extraction Transformation Load (ETL) is the backbone for any data warehouse. In the data warehouse world data is managed by the ETL process, which consists of three processes, Extraction-Pull/Acquire data from sources, Transformation-change data in the required format and Load-push data to the destination generally into a data warehouse or a data mart.

2023-10-25

Blogs

Rolling Back a Broken Release

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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

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

Presenting with Visual Studio Code

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A while back I wrote a quick post on setting up key mappings in...

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Forums

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

Testing is Becoming More Important

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Testing is Becoming More Important

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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