Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

For the UK to realize its AI ambitions, both public and private sectors must prioritize building robust data foundations. Entity resolution, contextual intelligence, and graph analytics provide the ...

Occasionally one may hear that a data model is 'over-normalized,' but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage.

In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.