Using Pipeline Return Value in Azure Data Factory and Azure Synapse Analytics
Learn how you can return data from one ADF pipeline for use in another.
2023-11-01
5,081 reads
Articles
Normalize strings to optimize space and searches
While this article is specifically geared to SQL Server, the concepts apply to any relational database platform. The Stack Exchange network logs a lot of web traffic – even compressed, we average well over a terabyte per month.
2023-11-01
Why Database Discussions Have Moved From the Backroom to the Boardroom
There are good reasons why business leaders should care about their databases—and hidden costs for neglecting them. Our CMO, Kate Duggan, wrote about the risks and potential costs in this article on Bloomberg.
2023-11-01
Batch Execution Mode on a Rowstore in SQL Server 2022
Batch execution mode is a new optimization feature in SQL Server. In this Article, we'll explore how Batch execution mode works and how you can use it to get faster query results on Rowstore data.
2023-10-30
4,533 reads
Improve Query Performance when SQL Server Ignores Nonclustered Index
In this article, we look at why SQL Server may not use a non-clustered index over the clustered index and what you can do to improve performance.
2023-10-30
Mastering a cloud migration: 10 video tips
If you haven’t had time to catch up on our latest full-length webinar on Cloud Migration, here’s an easy way to digest the tips from our experts in less than 20 minutes!
2023-10-30
First Normal Form Gets No Respect
Dr. Codd first described the relational model in a paper in Communications of the ACM (CACM 13 No 6; June 1970). Some more work followed up after that by other people, giving us normal forms and other things we have taken for granted for 50+ years.
2023-10-27
Power Query Editor in Power BI for Formatting Text Columns
This article looks at ways to clean up text data used in Power BI reports and charts for a more meaningful and consistent message.
2023-10-27
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
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
Identity Columns Can’t Be Updated: #SQLNewBlogger
By Steve Jones
I’m not sure I knew identity column values could not be updated. I ran...
Rolling Back a Broken Release
By Steve Jones
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 ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
Forums
Can someone please explain what happens?
I have mentioned this several times over several years. Can someone please help me...
SELECT COUNT(DISTINCT) returns null when nothing is found instead of 0
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
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
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 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers