Management Science, Vol. 40, No. 9 (Sep., 1994), pp. 1093-1123 (31 pages) We present a new framework for model management based on system concepts and theory. Underlying the framework is a set of meta ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

In Key Value data stores, data is represented as a collection of key–value pairs. InfoQ spoke with Casey Rosenthal from Basho team about data modeling when using Key Value NoSQL databases.

If you're wondering whether data modeling is still relevant in today's fast-paced, data-driven world, this white paper is for you. You'll discover how data modeling can help you overcome challenges ...

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

Computational Data-Driven Modeling (CDM) I is the first in a sequence of two courses designed to introduce the student to basics skills in exploratory data analysis and data-driven computational ...

Microsoft is acquiring ADRM Software and plans to combine its Azure compute and storage technology with its large-scale vertical data models.

In this webinar, we’ll explore how the Truveta Language Model (TLM)—a multi-modal AI model trained on EHR data—unlocks ...

Currently, the OMOP CDM does not adequately cover cancer diagnoses, treatments, and episodes. There is also no comprehensive cancer data model or terminology available in the public domain that would ...