Databases for Change
Meaningful change often requires information collection, processing, retrieval and distribution. As database professionals, that's our bag. So what can we do to help things along?
Meaningful change often requires information collection, processing, retrieval and distribution. As database professionals, that's our bag. So what can we do to help things along?
Steve Jones talks about a company looking to write all their stored procedures using the CLR in SQL Server. Is this a good idea?
A bug in the SQL Server 2008 upgrade process has Steve Jones questioning the coding practices at Microsoft.
Working with filegroups and managing the location of your various objects can be a cumbersome task in SQL Server. New author Thom Bolin brings us a technique and some code that worked well for one of his clients.
One of the things I typically need to do is to collect performance data on the server which includes CPU, memory and disk utilization as well as SQL Server-specific data. What command line tools are available to do this?
Murphy’s Law tells us that whatever can go wrong will go wrong. This axiom applies to all aspects of life, including data warehousing. The following corollaries to Murphy’s Law relate this inevitability of something going “bump” in the night to data warehousing.
A new data mining thrilled from Jeffrey Deaver has Steve Jones concerned about the centralization of data mining.
A new data mining thrilled from Jeffrey Deaver has Steve Jones concerned about the centralization of data mining.
A new data mining thrilled from Jeffrey Deaver has Steve Jones concerned about the centralization of data mining.
A series of online conferences covering various aspects of SQL Server and other Microsoft technologies. Check out the list for this fall and see if there is some training that you can attend.
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