Articles

External Article

Getting to know your customers better – cohort analysis and RFM segmentation in R

It often pays to use a tool like R, in conjunction with a relational database, to quickly perform a range of analyses, and graphs, in order to ensure that you're answering the right question, to explore alternative hypotheses, or to provide insight into a problem. Feodor demonstrates how to quickly, and interactively, explore the ways that customers purchase goods and services using cohort analysis.

2015-07-06

2,364 reads

External Article

Survey: Development and Test Databases

Unless development happens directly on the production database, every organization will manage one or more development and test instances. Redgate is doing research to learn how development and test databases are managed within organizations. If you’d like to know more about our plans, or are happy to help us understand the problem, please take part in this 3-page survey.

2015-07-01 (first published: )

4,682 reads

Blogs

The Book of Redgate: Profits

By

Redgate is a for-profit company. We look to make money by building and selling...

Session Materials for Techorama & DataGrillen 2026

By

I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...

Stop Using Pandas for Aggregations — Try DuckDB Instead

By

If you've ever loaded a 2 GB CSV into pandas just to run a...

Read the latest Blogs

Forums

Even When You Know What You're Doing, You Can Screw Up

By Grant Fritchey

Comments posted to this topic are about the item Even When You Know What...

The New Software Team

By Steve Jones - SSC Editor

Comments posted to this topic are about the item The New Software Team

Database Mail in SQL Server 2022

By Abdellateef Ibrahim

Comments posted to this topic are about the item Database Mail in SQL Server...

Visit the forum

Question of the Day

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