Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
The Relational Databases Software Market was valued at USD 45 billion in 2024 and is projected to reach approximately USD 75 billion by 2033, growing at a steady CAGR of 7.5% during the 2026–2033 ...
Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...
With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and enables autonomous action. For decades, the database has been the silent partner ...
Objective: The aim of this study was to develop a reliable model for predicting mortality in patients with catheter-associated urinary tract infection (CAUTI) in intensive care unit (ICU). Methods: ...
Large language models (LLMs) have demonstrated strong capabilities in translating natural language questions about relational databases into SQL queries. In particular, test-time scaling techniques ...
Abstract: Education in the area of (No)SQL databases can benefit from a digital learning tool that combines and presents different database systems under one common user interface. In this article, ...
Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...
Despite its steep licensing costs, SQL Server continues to prove its worth over open-source alternatives in some key areas. SQL Server is an expensive part of your IT stack -- SQL Server Enterprise ...
Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...
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