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 ...

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 ...

The Rise of Logical Data Management by Christopher Gardner is a thoroughly researched and timely guide for understanding how organizations can rethink their data architecture at a moment when AI, ...

A decade in product development taught me that strong products don't come from UI or features. It's the data model underneath ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

My last Forbes Council post in 2022 focused on exploring and defining a data product. As we enter 2023, we already see more organizations now building data products. Concomitant to the rise of data ...

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 ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2024, 01:42pm EDT Jul 03, 2024, 03:29pm EDT MADRID, ...

In recent months, the AI industry has started moving toward so-called simulated reasoning models that use a “chain of thought” process to work through tricky problems in multiple logical steps. At the ...