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SQLServerCentral Article

How to create your custom GPT SQL Expert

  • Article

Introduction ChatGPT includes custom GPTs. You can create your own custom GPT. In this article, we will demonstrate how to create a custom GPT expert in SQL Server. Requirements To create your own GPT, you need to use the paid version of ChatGPT. First, go to ChatGPT. Secondly, if you don’t have the paid version, […]

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2025-09-02 (first published: )

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SQLServerCentral Article

MongoDB and NodeJS in action

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Overview MongoDB is a popular NoSQL database used for building modern, scalable applications. In this article, we’ll cover how to set up MongoDB on Windows and connect to it using Node.js. We will also perform some basic Create, Read, Update, and Delete (CRUD) operations to ensure we understand fully on how Node.js can be made […]

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2025-09-02 (first published: )

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SQLServerCentral Article

Deprecated but Forgotten: Why SQL Server’s Text, NText, and Image Data Types Still Haunt Your Systems

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TEXT, NTEXT, and IMAGE columns have been deprecated for nearly two decades, yet they still silently haunt many SQL Server environments. This article explains their hidden limitations with practical demos and shows why migrating to VARCHAR(MAX), NVARCHAR(MAX), and VARBINARY(MAX) is critical for modern performance, maintainability, and future upgrades.

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2025-09-02 (first published: )

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Why CQRS and Event Sourcing Are Gaining Ground in High-Concurrency Web Systems

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In web app development company boardrooms, architects and engineers are debating old assumptions. Scaling up isn’t just about faster servers or better caching anymore. It’s about reshaping how systems think. CQRS (Command Query Responsibility Segregation) and Event Sourcing are no longer fringe ideas. They’re becoming default choices in high-concurrency systems where consistency, auditability, and performance […]

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2025-09-02 (first published: )

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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;

See possible answers