![]() ![]() Nodes are the fundamental units of our data. If you use a graph database, you’ll already be familiar with nodes and edges (or nodes and links in a visualization environment): ![]() What is a node, link and property?įirst let’s look at the graph model. Creating the right model makes the lives of your developers and end-users much easier. There are many different ways to model a single dataset, but some are more useful than others. The process is repetitive and often relies on trial and error, but it’s worth doing right. You can use that blueprint to create a visualization model for your charts. The result is a blueprint of your data’s entities, relationships and properties. What is graph data modeling?ĭata modeling is the translation of a conceptual view of your data to a logical model.ĭuring the graph data modeling process you decide which entities in your dataset should be nodes, which should be links and which should be discarded. In this blog post, we’ll cover everything you need to start creating effective models that’ll help your users find insight in connected data fast. Data modeling is the first step towards great graph visualization.
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