Spark with GraphX

- [Instructor] Another library…that's gaining popularity on Spark is GraphX,…and this is a set of complex, but interesting, examples…that if you have a used case on this you can try out.…But just to give you a sense of what GraphX is,…'cause I'm finding that a lot of my customers…are kind of unfamiliar with graph databases in general,…GraphX is an API…that can sit on top of Spark,…kind of like the ones that we looked at, C-Quel and R,…and it allows you to do graph parallel computation.…

So as it says here,…GraphX extends the Spark ARDD abstraction…by introducing the resilient distributed property graph.…So a lot of words.…A directed multi-graph with properties…attached to each vertex and edge.…So graph databases are a subject onto themselves.…Where I am seeing this come into use cases…is customers that have a combination of data…that is, let's say, relational,…behavioral,…and also data that would lend itself to a graph database.…

So I'm just going to show you a couple of examples…from this documentation,…because it'll help you to be thinking about it.…