Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

A comprehensive new review argues that database architecture, not just algorithms, determines how successfully entity ...

Early in 2022, two Microsoft Cloud Solution Architects introduced a new pilot approach for exporting Dynamics 365 Business Central data for analysis using Azure Data Lake and Azure Synapse Analytics.

A multimodel database is a data processing platform that supports multiple data models, which define the parameters for how the information in a database is organized and arranged. Being able to ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...

Dremio launched an updated version of its SQL query acceleration tool that enables customers to run queries significantly faster than unaccelerated queries. Reflections has been part of Dremio's ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...