Modern big data systems run on cloud environments where resources are shared among several users and applications. As a result, declarative user queries need to be optimized and executed over ...

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

If I remove the OR condition inside the parhentesis works. My first thought is to debug the execution and at a certain point the query is "flatten". Not sure why, maybe for index optimization? In the ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

The shift from traditional search engines to AI-powered answer engines signals more than a technical upgrade. It marks a fundamental change in how people discover, evaluate, and act on information.

Olivera Ciraj Bjelac, IAEA Department of Nuclear Sciences and Applications To support hospitals and specialists around the world in meeting their safety standards requirements, the IAEA has produced a ...

What are “near me” searches and why do they matter? “Near me” searches are high-intent, proximity-driven queries that include language like “near me” or “nearby” to land local search results. For ...

ABSTRACT: This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of ...