SQL Server 2005/8 Database Compression Presentation in Burlington, Vermont - April 15th
Yesterday, I drove the Smart down to Burlington/Colchester, Vermont to meet up with MVP Roman Rehak and speak to the local...
2009-04-13
1,081 reads
Yesterday, I drove the Smart down to Burlington/Colchester, Vermont to meet up with MVP Roman Rehak and speak to the local...
2009-04-13
1,081 reads
I'm embarking on another book project. Not writing this time, but tech editing again. I tech edited a book last...
2009-04-13
622 reads
I’ve often described SQL Server to people new to databases as a data pump.
Just like a water pump, you...
2009-04-13
1,229 reads
I currently write the editorial for the PASS Connector which is published every two weeks as part of my role...
2009-04-12
304 reads
What's my name?
Fully qualified domain name that is. One of the little gotchas I encountered when rewriting my database mirroring...
2009-04-11
9,418 reads
Often I tell clients better to much memory than too little. This can be applied to any database engine essentially....
2009-04-11
1,415 reads
For the second year in a row I didn’t purchase opening day Rockies tickets. I had a nice streak of...
2009-04-10
795 reads
As promised back in December ‘08, after having spoken briefly at SQL teach here in Montreal thanks to MVP Paul...
2009-04-09
1,777 reads
Back in December 2008 I wrote up a quick review of Red Thunder, and then received Red Lightning as a...
2009-04-09
284 reads
A Port, a Port! My Kingdom for a Port!!
One of the steps in setting up database mirroring is to assign...
2009-04-09
1,062 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