A New Word: Foilsick
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
Blog Posts
Down the Rabbit Hole: Dealing with Ad-Hoc Data Requests
"But I don’t want to go among mad people," Alice remarked."Oh, you can’t help that," said the Cat: "we’re all mad here. I’m mad. You’re mad.""How do you know...
2025-10-31 (first published: 2025-10-13)
308 reads
Prompt AI helping with Auditing
I had a conversation with a customer asking this question: how can I tell who called a stored procedure so I can audit the action? I decided to see...
2025-10-31 (first published: 2025-10-15)
287 reads
Measuring What Matters: Operationalizing Data Trust for CDOs
Trust is the currency of the data economy. Without it, even the most advanced platforms and the most ambitious strategies collapse under the weight of doubt. For Chief Data...
2025-10-30
15 reads
A Small LLM Fail
Another test with Copilot in SSMS (v22 P3) that didn’t go so well. This one surprised me. This is part of a series of experiments with AI systems. Looking...
2025-10-29
18 reads
Fabric as a Data Mesh Enabler: Rethinking Enterprise Data Distribution
For decades, enterprises have approached data management with the same mindset as someone stuffing everything into a single attic. The attic was called the data warehouse, and while it...
2025-10-29 (first published: 2025-10-09)
317 reads
SQL Server Versions: Out With the Old, In With the Supported
If your production SQL Servers are still running 2016 (or older) you’re basically banking on inertia. Sure, it’s been stable. But that doesn’t guarantee it’ll stay safe or compliant....
2025-10-29
27 reads
Truncate Table Pitfalls
Truncate Table Pitfalls
Truncating a table can be gloriously fast—and spectacularly dangerous when used carelessly. If you want the speed without the face-palm moments, here’s a practical, interview-ready guide to...
2025-10-29 (first published: 2025-10-08)
811 reads
T-SQL Tuesday #191 Round Up
I hosted this month, late as it turns out, but we still had a few entries. Here’s a look at the blogs people published. First as always, Rob Farley...
2025-10-28
17 reads
Unused Indexes in SQL Server: Find them, vet them, and drop them safely
Unused Indexes in SQL Server: Find them, vet them, and drop them safely
Indexes are fantastic when you’re reading data—and a tax when you’re writing it. Every INSERT/UPDATE/DELETE has to...
2025-10-28
400 reads
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
Question of the Day
Using OPENJSON
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