Data visualizations capture any measured task in the customer journey. It's meant to organize observations of a dimension or metric in a graph. But the right visualization choice isn't always ...

graphs or some other form – is important because it can give data meaning to a broader audience. “Visualization gives us a way to parse and understand data so that we can add it to our stories ...

“This allows business analysts to easily model graph queries using a common business language, making graph data easier to render in a human-readable format via common visualization tools.” In terms ...

Altair, a global leader in computational intelligence, announced that Altair® RapidMiner®, Altair's data analytics and AI ...

Compound graphs, a frequently encountered ... Visualizing these data sets is difficult because the addition of adjacency relations in any existing tree visualization method results in visual clutter.

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 ...

Software Graph Visualization eliminates ... security review questions and threat model stories-security teams can quickly identify, prioritize, remediate, and communicate risks, all backed by clear, ...

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.