Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Food composition databases are essential tools that systematically collate data on the nutrient and bioactive content of foods, thereby serving as indispensable resources for public health nutrition, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

Constanze Kurz and Franziska Görlitz warn against the use of Palantir by the police. Fundamental rights are at risk.

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

LONDON, ENGLAND - AUGUST 19: Workers clean the East-facing clock face of the Elizabeth Tower of the Houses of Parliament on August 19, 2014 in London, England. Workers are cleaning the four faces of ...

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

Many electronic devices and systems perform essential functions that must execute flawlessly over long periods of time. For example, electronic power grids, telecom systems, and implanted medical ...

Here are 15 data management and data analytics technology companies, part of the CRN AI 100, that are playing an outsized role in AI today. “Without data, there can be no AI,” said Airbyte co-founder ...