Oracle’s $20 billion stock sale aims to fund its AI-driven cloud expansion, and this article examines what the move means for the company and whether investors should consider buying ORCL shares right ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

In financial services, database risk extends beyond IT. It affects delivery, operational resilience, and governance at the ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

The database is no longer just where data lives, but where context gets assembled – and in AI, context is everything.

I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

This guide outlines the essential steps to quickly get started with DBeaver. To begin working with this guide, it is essential that you install the appropriate ...

Learning SQL is a great move for anyone working with data, but actually getting good at it can feel tricky, especially if you don’t have a database handy. Luckily, there are tons of free places online ...

Which feature in SQL Server and Azure Synapse Analytics lets you run T-SQL queries against external data stores and makes those external sources appear as tables in a SQL database?

Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS). DataBase design Concepts (DBCs) ...

As today’s database administrators (DBAs) manage the complexity of modern database environments, particularly containerized systems, they must lean into smart automation to transform database ...