Data modeling is the process of creating a simplified visual diagram of a software system and the data elements it contains, using text and symbols to represent the data and how it flows. Data models ...

Data analysts can help build accessible and effective data models by defining business requirements, working with IT and data scientists, and testing data model results. A good data model accounts for ...

Data models map the relationships between data entities and attributes in a way that "captures the business meaning of data," according to consultant Peter Aiken. And they need to change as the makeup ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

As one works through the normal forms, be it a journey to the placid shores of third normal, or the more arid climes of Boyce-Codd normal form, or even the cloudy peaks of fourth normal and beyond—and ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, ...

The latest trends in software development from the Computer Weekly Application Developer Network. Agile developers tend to view data modeling as a bottleneck preventing them from delivering value.

Additive manufacturing (AM) is the process in which a three-dimensional object is built by adding subsequent layers of materials. AM enables novel material compositions and shapes, often without the ...