For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...

Speed up Power Query from SharePoint by swapping SharePoint.Files for SharePoint.Contents, cutting refresh from 44.6s to ...

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 query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...

Description: The codebase lacks systematic use of select_related() and prefetch_related() for database query optimization. While I found one instance in the Routine.date_sequence method with proper ...

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 ...

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 ...

Abstract: This paper addresses the challenge of efficiently querying multimodal related data in data lakes, a large-scale storage and management system that supports heterogeneous data formats, ...