Data is not just information. It is an asset — and it’s time our laws, markets, and institutions recognized it as such.” The ...

Introduction Intelligent agents constitute task-oriented software that use artificial intelligence (AI) to achieve ...

Not all data is created equal. Unlike structured data, which resides in well-defined fields and tables, unstructured data ...

I had an epiphany while on the ice with my team. Our team has been together since 2018 — we’ve competed in several leagues, ...

It would be hard to imagine a data model that didn’t include persons, either as individuals or as groups. Models contain people in one of two ways: as organizational structures or as playing roles in ...

The quality of data used in business is more important now than ever before. Accordingly, in order for organizations to deliver good business results, their data must be accurate, and the use of that ...

There is a movement in the business and academic worlds to consider relabeling the name of the long-time data discipline of “Data Governance” to “Data Enablement”. Usually, when someone tells me ...

Possibly, the most difficult problem to support in the relational model is hierarchical data. A hierarchy according to Webster is a “group of persons or things arranged in order to rank grade, class, ...

Peter Chen invented data modeling with his innovative way of showing data structures in terms of entities and relationships. For the first time, complex data could be modeled so it was understandable ...

Entity relationship diagram (ERD) is one of the most widely used technique for data modeling. An ERD developed during the conceptual data modeling phase of the database development process is ...

What is a Semantic Model? The use of a semantic model as a fundamental step in the data warehouse development process can serve as a keystone for understanding requirements, the design of the ...

We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data warehouse, due ...