Storing and traversing large graphs in ArangoDB
- Track: Graph Processing devroom
- Room: AW1.121
- Day: Saturday
- Start: 13:30
- End: 14:00
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.
Speakers
Frank Celler |