A Taxonomy of Graph Analytics

The take up of graph databases is slowed because practitioners find it hard to think about data stored in graphs. In this presentation, I will share a taxonomy of graph data analytics, which reduces all graph analyses to 4 pairs of abstractions. I will show how this makes it easier to solve graph analytics problems. Each element will be presented alongside typical business problems from a number of different industries and linked to real use cases.