Brussels / 2 & 3 February 2013


Storing and traversing large graphs in ArangoDB

In this session we will use bibliographic data as an example of a large data-set with graph structure. In order to investigate this structure the data is imported into the multi-model database ArangoDB. This database allows to investigate and access the underlying graph: A query language gives you access to basic path structure. Graph traversals written in JavaScript allow you to explore that graph in-depth. Finally, a library of graph algorithms is available to look for hot-spots and the like.


Frank Celler