A new semantic-based graph data model has emerged within the enterprise ... The practicality of these realities is demonstrated in examples pertaining to intelligence, fraud detection, and ...

It depends on the data set, he said. “A graph is a good abstraction for a social network, but social networks are so much more. With higher-order systems, there are more ways to model.” Graph theory ...

Let’s look at an example Jeff Carpenter is a technical ... As you might have noticed, there isn’t any new information in the graph data model that we couldn’t capture in a traditional ...

RDF is a graph data model that has been around since 1997 ... In the real world, datasets are typically smaller. For example, all structured knowledge in Wikipedia is less than 800 million ...

The feature engineering is a key element as well. There are also many industry-standard data models, which support RDF and the graph model. For example, Fibo for financial services, HL7 FHIR for ...

Gartner, for example, predicted last year that this ... are very much dependent on an appropriate graph data model. Depending on your domain, an out-of-the-box graph data model may or may not ...

which brings graph data model capabilities. >>Don’t miss our special issue: Building the foundation for customer data quality.<< A graph database is a type of data model structured to help users ...

The new database, dubbed Aerospike Graph, adds a property graph data model to the existing capabilities of its NoSQL database and Apache TinkerPop graph compute engine, the company said.