Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...

Data modeling is an important part of business intelligence that requires the support of skilled professionals. Learn more about what they do.

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

This article will guide you from scratch to comprehensively understand LangChain4j. Part One: Understanding LangChain4j - ...

The real value comes when graph databases and knowledge graphs are integrated, said Gnau. “In a multi-model platform, graph and semantic modeling capabilities work together to provide both structure ...

Archaic methods have made database modeling happen in a vacuum, which has been quite frustrating to enterprises. Based on PSL Group’s primary objective of helping research-based pharmaceutical and ...

However, with the intensifying competition, enterprises face numerous challenges when selecting a vector database. Issues such as inadequate performance, low throughput, high latency, lack of ...

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

Oracle’s change in strategy to release a developer-first version of its new database is linked to the company’s plans to defend its market dominance and look at innovative ways to acquire new ...