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 often ...

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 ...

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 ...

What does a data modeler do? Your email has been sent Data modeling is an important part of business intelligence that requires the support of skilled professionals ...

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

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

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 ...