For example ... elements of our graph, let’s implement the actual Graph data structure. // Graph is a map of all the nodes in the graph represented by // their string representation type ...

It structures data in a meaningful way, enabling greater efficiencies and accuracies in retrieving information. LinkedIn, for example, uses a knowledge graph to structure and interconnect data ...

Entities and Relations for representing individual pieces of data, and Types for adding structure to information.” Entities, Relations and Types are defined by developers. The Graph will ...

Statistics specializes in using objective, quantitative measures to understand data, but there is no substitute for graphing something out and getting a look at its shape and structure with one's ...

But scientists now believe that Global Positioning System (GPS) data could help spot early warning signs two hours before a big quake strikes. Earthquakes occur when the slabs of slow-moving rocks ...

As with much of enterprise IT, analyzing the data is a complex act that calls for pulling together multiple point products. “You have predictive analytics, you have prescriptive analytics, you have ...

Those are all examples of internal data, but external data can be captured or analyzed in real-time, too. Delivery and logistics operations can tap into traffic or weather data streams to assist ...

Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics to gain real-time insights ... names of the data structures ...