Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 ...

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 isn’t coming. It’s already here: As rankings and clicks matter less, citations matter more. Businesses now need content that AI engines trust and reference when answering questions.

Toyama Research and Development Center, FUJIFILM Toyama Chemical Co., Ltd., 4-1, Shimookui 2-chome, Toyama 930-8508, Japan ...

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 ...

Abstract: SQL query optimization aims to choose an optimal Query Execution Plan (QEP) for a query. The existing optimizers usually choose the plan with the minimal execution cost. However, in some ...

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

I'm on a project that inherited some old generalized metadata search code and it can get terribly bogged down speed-wise. It's a bit annoying wait a couple minutes for a search to run: an example ...