Creating a Striped Backup Set with AI
I needed to test a striped backup, so I decided to ask the AI’s for help. This is part of a series of experiments with AI systems. The Problem...
2025-11-07 (first published: 2025-10-22)
260 reads
I needed to test a striped backup, so I decided to ask the AI’s for help. This is part of a series of experiments with AI systems. The Problem...
2025-11-07 (first published: 2025-10-22)
260 reads
This is from 2010, but I loved that people felt this way about Redgate Software. A lot of these words are things that we aim to express to each...
2025-11-07
18 reads
In SQL Server environments where transactional replication runs alongside Always On Availability Groups (AGs), DBAs sometimes face a frustrating scenario: replication stalls when a secondary replica or subscriber is...
2025-11-07 (first published: 2025-10-21)
518 reads
It’s that time of the month again, and once again, I’m late and I’m hosting. I was traveling a lot in October and didn’t sort out hosting for this...
2025-11-07
31 reads
Today I’m in San Francisco at Small Data SF 2025. I went to the conference last year and thought it was a great event. Watching people talk about data...
2025-11-05
14 reads
For decades, enterprises have thought about data like plumbers think about water: you build pipelines, connect sources to sinks, and hope the pipes do not burst under pressure. That...
2025-11-05 (first published: 2025-10-17)
447 reads
Why you should connect resiliently to SQL Server
Transient failures happen — in the cloud (Azure SQL) and on-prem. A resilient connection strategy lets your app recover gracefully instead of...
2025-11-05 (first published: 2025-10-13)
403 reads
Welcome back, my fellow sleuths, to my mystery-inspired blog series! I’m having a ton of fun writing these, and I hope you’re enjoying the ride through SQL Server’s haunted...
2025-11-03 (first published: 2025-10-17)
300 reads
Don’t Let Trouble Sneak Up on You Most SQL Servers run quietly. Until they don’t. By the time someone notices an application outage or a failed backup, you’re...
2025-11-03 (first published: 2025-10-15)
332 reads
foilsick – adj. feeling ashamed after revealing a little too much of yourself to someone – allowing them too clear a view of your pettiness, your anger, your cowardice,...
2025-10-31
33 reads
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers