“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 ...

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 ...

Data Visualization is a widely used technique for visualizing, analyzing, and presenting datasets using different types of graphs. It is an effective way to evaluate a large data set using ...

Software Graph Visualization ... and threat model stories—security teams can quickly identify, prioritize, remediate, and communicate risks, all backed by clear, data-driven insights that ...

Data visualization is one of the most important tools we have to analyze data. But it’s just as easy to mislead as it is to educate using charts and graphs. In this article we’ll take a look ...

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.