Summary
In this chapter, we have covered details around GraphX, looked at various operations and algorithms of GraphX, before moving on to GraphFrames, which is a very similar programming API to what we had recently worked with in recent chapters. I hope that this chapter has given you a starting point and helped you understand the importance of graph analytics in addition to working with practical examples of GraphX and GraphFrames. If you would like to learn more, I would recommend looking at the Apache Spark Graph Processing by Rindra Ramamonjison, Packt Publishing.
The next chapter is focussed around setting up Spark in a clustered environment including Standalone scheduler, YARN, and Mesos. We will then cover two case studies before wrapping up with an Appendix, There's More with Spark of helpful topics.
