Build Stuff 2017

Graphs are everywhere. Friended someone on Facebook? Graphs. Checked the best route to avoid traffic on Google Maps? Graphs. Those recruiters that keep spamming you with job offers on LinkedIn? They find you through graphs. We’re surrounded by problems that can be best represented and solved through graphs, and yet graph databases and processing frameworks remain an obscure niche accessible mainly to data scientists and academics. It’s time to right the injustice and bring graphs to the masses!

In this session you will learn about the various graph databases and data processing tools. You will hear about the types of problems that can be solved through graphs, what works best with graph databases, and what should be done with big data processing offline. You will see different ways of representing common use-cases in graph databases, various graph query languages, and learn about the advantages of migrating from relational databases with complex joins to graph databases. The talk includes demos of the various technologies, such as Neo4j, OrientDB, GraphX, Giraph, and others.