A global certification pathway validates NoSQL expertise through secure testing and digital credentials aligned with ...

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 ...

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 online data science specialization is ideal for learners interested in database design, database software fundamentals, and how to use Structured Query Language (SQL) to work with databases. You ...

As businesses shift toward smarter digital infrastructures, the database landscape is rapidly evolving. Siva Prasad Nandi, a researcher in cloud-native technologies, explores the rise of serverless ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

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 ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

Databricks claims AI agents have quietly taken over enterprise database creation, pushing its Lakebase product to the center of agentic application development.

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...