Using Data Science And Machine Learning In Identifying Fraudulent Activities
A look at one way to detect fraud using R and a machine learning model.
2021-04-14
2,441 reads
A look at one way to detect fraud using R and a machine learning model.
2021-04-14
2,441 reads
A significant part of product development is A/B testing. Simply put, this is where companies and product managers test to see a new version of their product versus the older one to make sure it’s worth publishing their features to the entire user base. In order to do this, an A/B test needs to be set […]
2020-04-20
3,040 reads
I’ve been thinking a lot lately about what it actually takes to make an...
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
Comments posted to this topic are about the item Even When You Know What...
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Comments posted to this topic are about the item Database Mail in SQL Server...
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