Additional Articles


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Preparing SQL Servers and Data for Quantum Computing

Just like advances in artificial intelligence, I have heard that quantum computing is going to be a disruptive technology for our future. For instance, there’s the concern that it’s going to break/crack a lot of network encryption and potentially data encryption. What’s going to be affected, how long do we have, and what do I (and my organization) need to do to prepare for it?

2025-12-31

External Article

Making AI Talk to Your Database: AI-Powered Database Queries Made Simple

Beneath the surface though, AI is just a tool that learns certain patterns and draws conclusions from information on the Web to answer questions, make decisions, or craft a code sample or two. Those that have used AI in the past will know that just as it’s capable of providing valuable information, AI tools can also generate inaccurate responses, and that’s why it’s important to use it wisely.

2025-12-29

External Article

SQL Server Change Tracking to Optimize Data Refreshes for Reporting

You’re a developer responsible for maintaining a SQL Server database used to feed data to Power BI. You realize that some tables don’t have a modifiedDate column and some do. Also, you know the data is updated by the application as well as other processes which makes the modifiedDate unreliable. This is because it may not always be updated when data changes. You need a way to track data changes to ensure only changed rows are updated on reports in Power BI.

2025-12-24

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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