A graph database is designed to help you answer questions about large or complex networks of inter-related data. They represent data as ‘vertices’, sometimes called ‘nodes’. The relationships between vertices are represented by connections called ‘edges’. Graph databases also store metadata or ‘properties’ about vertices and edges. Graph database applications came to prominence when modeling complex networks of related data, include modelling and applying social networks, constructing and developing recommendation engines, and ‘optimal route’ challenges such as finding the shortest path or solving the vehicle routing problem. In this session you'll learn how you can get started with IBM Graph to analyse your data.
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An Introduction to Graph databases and IBM Graph