Houston, we have a problem
Phil Factor takes a sideways look at Houston, a new tool for building SQL Azure applications, and is somewhat underwhelmed by what he finds.
Phil Factor takes a sideways look at Houston, a new tool for building SQL Azure applications, and is somewhat underwhelmed by what he finds.
A webinar from the PASS Performance VC on Aug 3, 2010
A survey shows the majority of IT administrators have snooped for data on their networks. Steve Jones reminds us to be professionals, each and every day.
In the first part of a series on Tally Tables, Sioban Krzywicki shows how a Tally Table has helped out with fiscal year calculations.
Let's face it: requirements change. There is usually a lot of churn during the design and initial development stages, but changes can happen to mature applications, too. The key is to introduce those changes with the least amount of effort and risk.
There is no shortage of events that you can attend this fall and many of them are looking for speakers. If you've solved a problem at work, maybe you want to present a solution at one of these great events.
Jacob Sebastian takes a look at some different ways to write your WHERE clauses. A good basic article for those starting to work with T-SQL.
As part of our long-running Cribsheet series, we asked William to come up with a brief summary of what was involved in bringing database development work under source control. What are the advantages it brings, and are there disadvantages?
Steve Jones thinks we should be building feedback loops into all our systems. Not just for customer service, but also for bugs.
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
Comments posted to this topic are about the item The string_agg function
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers