Capital One Software, the enterprise B2B software business of Capital One, today announced intelligent optimization features for Capital One Slingshot, designed to improve performance and quickly ...

Most of the performance work I have done on ML data pipelines has not come from clever algorithms. It has come from removing waste wasted shuffles, wasted scans, wasted memory, wasted I/O. I find that ...

Abstract: In this paper, a distributed data storage and efficient query optimization method for tobacco manufacturing information system is proposed to meet the massive and complex data processing ...

In the evolving landscape of artificial intelligence, the shift toward distributed AI is reshaping how businesses approach data management and model deployment. At the AI Dev 26 conference, Emma ...

Query optimization lies at the heart of modern database management systems, striving to identify the most efficient access and execution plan for a given declarative query. Traditional optimisers ...

Skyline queries identify the subset of data items that are not dominated by any other item across multiple dimensions, offering a Pareto‐optimal set for multi‐criteria decision making. In uncertain ...

Abstract: The paper examines the problem of optimizing data processing in recommender systems operating within distributed PostgreSQL databases. It presents a systematic multi-layer SQL optimization ...

Growing privacy regulations and internal governance mandates are driving demand for fine-grained, context-sensitive access control in data management systems. Among competing approaches, content-based ...

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 ...