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 ...
AI-powered search isnāt coming. Itās already here: As rankings and clicks matter less, citations matter more. Businesses now need content that AI engines trust and reference when answering questions.
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 ...
Abstract: Autonomous parking trajectory planning in unstructured environments with irregular obstacles must address the challenges posed by non-convex obstacle constraints. Due to the coupling between ...
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.
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 ...
Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...
Iām encountering an issue while reformulating SPARQL queries into SQL using a SPARQL endpoint. It appears that there may be some optimization applied by the endpoint when generating SQL for Databricks ...
Hello there! š I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results