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AWS RDS Aurora - our first approach

When starting with AWS RDS Aurora for managing relational databases in the cloud, many data engineers face the challenge of leveraging its cutting-edge features while maintaining performance and reliability....

2026-05-22 (first published: )

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Understanding Fabric Ontology

What problem is Fabric Ontology trying to solve? For years, most data conversations have started with tables. We ask where the data lives, what columns are available, how the...

2026-05-22 (first published: )

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Blog Post

Understanding Fabric MCP

Model Context Protocol, or MCP, is one of those technical ideas that sounds more complicated than it really is. The easiest way to think about it is this: MCP...

2026-05-20 (first published: )

346 reads

Blogs

The Book of Redgate: Profits

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

Stop Using Pandas for Aggregations — Try DuckDB Instead

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

Understanding Fabric Ontology

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What problem is Fabric Ontology trying to solve? For years, most data conversations have...

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The New Software Team

By Steve Jones - SSC Editor

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Database Mail in SQL Server 2022

By Abdellateef Ibrahim

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The string_agg function

By Alessandro Mortola

Comments posted to this topic are about the item The string_agg function

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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;

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