Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are ...

More incoming AI wave has been quietly emerging: large database models. Even as large language ... Here's an overview, as well as a specific example where LDMs power a predictive AI project ...

Before looking into a graph database provider, make sure your intended use works well with the graph model. This means any application that can benefit from using graphs to manage data relationships.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Back in the 1970s, the ANSI SPARC three-tiered model arose, foreshadowing a smooth intertwining of data and architectural design. The three tiers concept isolated the physical storage needs of data ...