The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

The expanding volume and complexity of modern datasets have necessitated innovative approaches to data query processing and visualisation. Contemporary methods must efficiently extract actionable ...

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...

Kinetica, a relational database provider for online analytical processing (OLAP) and real-time analytics, is harnessing the power of OpenAI’s ChatGPT to let developers use natural language processing ...

The three features of adaptive query processing can make SQL Server 2017 significantly faster at processing your workload. Not only that, but they also provide significant improvements without needing ...

The Microsoft Azure Incubations team recently unveiled Drasi, an innovative event-driven, open-source data processing system that takes a novel approach to tracking and processing rapidly changing ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As data continues to be key to business success, enterprises are racing ...

QueryGrid is a software-based service embedded in Teradata Database 15, also announced today, that’s designed to allow Teradata Database to intelligently use the functionality and data of multiple ...

The idea is pretty simple and actually pretty old: Use a distributed architecture on large databases to quickly return the data requested. This approach runs the database query across many servers at ...

This project aims to design a join sampling framework that enables very fast approximate queries in open-source database systems. Project is Not Currently Available This project has reached full ...