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A new feature is available on SQLServerCentral, and Steve Jones talks a little about how it fits in with your strategy here at the site. Visit ask.sqlservercentral.com and let us know what you think.
A new feature is available on SQLServerCentral, and Steve Jones talks a little about how it fits in with your strategy here at the site. Visit ask.sqlservercentral.com and let us know what you think.
A new feature is available on SQLServerCentral, and Steve Jones talks a little about how it fits in with your strategy here at the site. Visit ask.sqlservercentral.com and let us know what you think.
Joe Celko explores the dangers of muddling correlation and causation, emphasises the importance of determining how likely it is that a correlation has occurred by chance, and gets stuck into calculating correlation coefficients in SQL. Along the way, Joe illustrates the consequences of leaping to the wrong conclusion from correlations with tales of Pop Dread.
“Joe Test”
“Joe Test2?
“Joe Test3?
“Arrgh! There has got to be a better way to create some test data!”
Ever had that conversation...
Integration Services is a great ETL tool, allowing you to build complex and dynamic transformations. New author Marie Deschene brings us a
Feel like making a prediction this Friday? Steve Jones looks to the future with information workers and a knowledge economy. Answer this Friday poll and give us your guess about the future.
This article will cover the core understanding of the performance conversation
Feel like making a prediction this Friday? Steve Jones looks to the future with information workers and a knowledge economy. Answer this Friday poll and give us your guess about the future.
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