A New Word: Immerensis
immerensis – n. the maddening inability to understand the reasons why someone loves you – almost as if you’re selling them a used car that you know has a...
2025-04-18
38 reads
immerensis – n. the maddening inability to understand the reasons why someone loves you – almost as if you’re selling them a used car that you know has a...
2025-04-18
38 reads
In this post, I will guide you on how to deploy a dockerized simple flask-based TODO application to Azure Container Apps using Pulumi. You will Dockerize the Python application,...
2025-04-18
63 reads
If we aren't having the same conversation, we aren't going to be heard. That's what Charles Duhigg, author of The Power of Habit, covered in the following TED talk:
2025-04-18 (first published: 2025-03-31)
359 reads
As a part of the Book of Redgate, we have a series of (red, of course) pages with the title “What we believe”. These are our values, as set...
2025-04-18 (first published: 2025-04-04)
410 reads
Understanding how permissions work in Microsoft Fabric can be essential for anyone managing access to Lakehouses, SQL Endpoints, or Semantic Models.
2025-04-16 (first published: 2025-04-03)
591 reads
Microsoft Fabric is transforming real-time analytics for financial institutions. It provides a unified data platform. This platform integrates various data sources into a single, cohesive system. This integration breaks...
2025-04-16 (first published: 2025-04-03)
333 reads
The Distributed Availability Group Dashboard can be downloaded from our GitHub repo. https://github.com/SQLUndercover/UndercoverToolbox/blob/master/DAG%20Dashboard.pbix. This comes off of the back of my last post looking at using a distributed availability...
2025-04-14 (first published: 2025-04-01)
370 reads
We value your privacy. This policy explains what personal data we collect and why.
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2025-04-14
13 reads
Does skipping a DBA save money? Wait until your system grinds to a halt, your backups fail, or your cloud bill skyrockets. The “DBA? We Don’t Need No Stinkin’...
2025-04-14 (first published: 2025-04-02)
596 reads
When in doubt, overtip – from Excellent Advice for Living This is close to my heart, since I spent a lot of time in college and after working as...
2025-04-11
23 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