Using integrated modeling solutions to implement model-driven data management and development can help organizations share knowledge effectively and with minimum effort. It will certainly produce ...

Sustaining those logical and physical data models requires templates, naming standards, standard abbreviations, and many other details that help ensure continuity.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

MISMO, the standards development body for the mortgage industry released its logical data model as the next generation of the MISMO data exchange, according to a press release.

A logical data model captures how a company conducts its business and how the data are organized for decision-making and analysis. The Utilities LDM also highlights data integrity problems, provides ...

Navicat Data Modeler is a powerful, cost-effective data modeling and design tool that enables you to create high-quality conceptual, logical and physical data models for a number of use cases.

As more sophisticated AI language models are developed, more quality data is needed for training them. MIT is working to solve this issue.

Logical Systems and Model Theory constitute a foundational area bridging mathematics, computer science and philosophy through the formalisation of reasoning.

PURPOSEThe explosion of big data and artificial intelligence has rapidly increased the need for integrated, homogenized, and harmonized health data. Many common data models (CDMs) and standard ...