Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Enterprise AI startup Kumo is making the case that the next phase of enterprise AI will be shaped by structured and ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) ...

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 ...

Ardoq, a software company reinventing enterprise architecture, is launching Scenarios, enabling organizations to model multiple future states in a scalable, data-driven, and collaborative way. Ardoq’s ...

Many engineering teams still rely on architecture optimized for transactional apps, not for AI systems that mix structured and unstructured data and live event streams. This legacy architecture has ...

Microservice architectures are a common model for modern applications and systems. They have a specific characteristic of splitting the business responsibility of a large application into distinct, ...

Starburst provides a high-performance data lakehouse platform powered by the above-mentioned Trino (a fast, distributed SQL ...