Webinar: Visualize graph data

How to visualize graph data

A graph is a model of data that features connections (called links or edges) between entities (called nodes or vertices) and properties.

If you want to represent your data as a graph, the high-level process is simple: identify which entities you want to represent as nodes and links and then apply them. As long as you have connections in your data, even two simple columns are enough to get value out of looking at it in a chart. But in reality, your graph data is likely to be far more complex.

A graph database schema already has node, edge and property graph structures built into them. They’re optimized for the job of representing graphs, with connections in a graph database as important as the data itself. Once you translate the nodes, links and properties into the real-world representations in your visual model, you can use graph visualization to find new insights.

Visualize graph data with KeyLines

In this video session, Corey demonstrates how to visualize graph data using KeyLines, our graph visualization toolkit for JavaScript developers. He’ll show how users rely on our technology to uncover threats in their data connections, revealing a new perspective and driving investigations forward. Watch the recording to discover how graph visualization can bring your data to life.