Under Promise and Overdeliver
If you under promise and overdeliver then you will always have happy clients.
2023-06-19
26 reads
If you under promise and overdeliver then you will always have happy clients.
2023-06-19
26 reads
astrophe n the feeling of being stuck on Earth. Us geeks are supposed to love space, right? Science Fiction? The Moon is a Harsh Mistress? Star Trek/Star Wars/Lost in...
2023-06-16
39 reads
I’ve been working with Ryan Booz a bit more and as we’ve talked over the last few weeks, he has asked me a few times if I’ve booked travel...
2023-06-16
17 reads
Information security and privacy are key in today’s data-driven world. Sensitive data needs to be protected from unauthorized access. With column masking in SQL Server and Azure SQL, you...
2023-06-16 (first published: 2023-06-01)
355 reads
A customer had a question recently on masking Chinese characters. I thought that was interesting, so decided to test this out. This is a short post on using SQL...
2023-06-16 (first published: 2023-05-26)
163 reads
Here we look at a common query "anti-pattern" that can create performance problems - and how you work around it.
2023-06-14
401 reads
Introduced with SQL 2016, Query Store was, probably without doubt, the most anticipated and talked out new feature. In this post we'll just take a brief look at it,...
2023-06-14 (first published: 2023-05-31)
625 reads
Yesterday at Microsoft Build, a significant announcement took place—the introduction of Microsoft Fabric, which is now available for public preview. Satya Nadella, the CEO of Microsoft, went as far...
2023-06-14 (first published: 2023-05-31)
629 reads
I repeat the phrase “If you aren’t monitoring it, you can’t measure it” all the time. Through my IT career, this has been a constant. If you don’t have...
2023-06-14
5 reads
In this post we’ll look at how you interact with data that is encrypted using Always Encrypted. The examples here will show how you run queries from SSMS, in...
2023-06-13
38 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...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
We need to replace our Windows server running SQL 2017. Any reason not to...
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