Simple(r) Coffee
Choice is good, but too much choice can cause problems in both coffee shops and software teams, as Steve notes today.
Choice is good, but too much choice can cause problems in both coffee shops and software teams, as Steve notes today.
Learn how to implement data partitioning within Microsoft Fabric to improve performance for Lakehouses, Warehouses, and Pipelines.
Yeah, I know, holidays are over. It snowed about four inches overnight here and it's still coming down a little. You'll forgive me for having that song running through my head. Yesterday morning, before the storm started, we did a check through the house to make sure we were ready for a couple of days […]
There have been a number of changes to the T-SQL language that are very specialized. Steve asks if you use any in your code?
Recently, my skills were put to the test when I needed to compare hundreds of Active Directory and SharePoint Groups to find similarities in their memberships.
Are you doing the things at work that your boss cares about or the things you care about? Steve has a few thoughts on this.
In this next level, learn how you can load data from Amazon S3 in Fabric.
Learn about SQL Server OPTION RECOMPILE and if used on simple, frequently executed queries if it causes excessive CPU usage.
There is still a huge demand for data centers, both from cloud vendors and private enterprises.
What can be so difficult in creating a sensible standard for Structured Data Documents? To understand why they tend to get improved into unusable complexity, I’ll need to explain a bit of background.
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