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Evolving Role of Data Professionals in Artificial Intelligence Era

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Generative Al tools like Gemini and GPT promise to automate and augment knowledge-based work. Data professionals must adapt to this transformation by acquiring new skills and playing a central role in their organization's AI-driven future. Data preparation, curation, ethical sourcing and labeling, and collecting user feedback become crucial as high-quality data is essential for effective LLM based application.

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2024-03-04

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External Article

Redgate Summit: The Database Landscape

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A series of Redgate events across the globe for data professionals who want to improve their skills and knowledge about Database DevOps, learn about moving to the Cloud, AI, and working across multiple databases. Redgate Summit aims to bring together database professionals who want to level-up their skills to navigate the increasingly complex database landscape. Learn more about emergent technologies, and reliably solve the complex challenges of database management across the entire DevOps lifecycle. Each event will all feature three separate tracks covering New and Future Technologies, Deep Dive Solutions, and Leadership, all promising to equip senior database professionals with the tools and insights needed to navigate the intricate landscape of 2024.

2024-02-23

SQLServerCentral Editorial

The Birth of Computing Was the Birth of Testing

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Last year I had the most wonderful opportunity. I took part in Data Relay, an event in the UK which tours several cities. Wonderful time, but not the focus here. The very first one was held at the National Museum of Computing at Bletchley Park. Without a doubt, you've heard of Alan Turing, Enigma, and […]

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2024-02-10

81 reads

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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