A Little Graph Theory for the Busy Developer
With Jim Webber, Co-Author of O'Reilly Media's Graph Databases
Monday April 22 10:00 PDT / 19:00 CEST
In this talk we'll explore powerful analytic techniques for graph data. Firstly we'll discover some of the innate properties of (social) graphs from fields like anthropology and sociology. By understanding the forces and tensions within the graph structure and applying some graph theory, we'll be able to predict how the graph will evolve over time. To test just how powerful and accurate graph theory is, we'll also be able to (retrospectively) predict World War 1 based on a social graph and a few simple mechanical rules.
Then we'll see how graph matching can be used to extract online business intelligence (for powerful retail recommendations). In turn we'll apply these powerful techniques to modelling domains in Neo4j (a graph database) and show how Neo4j can be used to drive business intelligence.
Don't worry, there won't be much maths :-)
Speaker: Jim Webber, Chief Scientist, Neo Technology
Dr. Jim Webber is Chief Scientist with Neo Technology the company behind the popular open source graph database Neo4j, where he works on graph database server technology and writes open source software. Jim is interested in using big graphs like the Web for building distributed systems, which led him to being a co-author on the book REST in Practice, having previously written Developing Enterprise Web Services - An Architect's Guide. Jim, along with Ian Robinson and Emil Eifrem, co-authored the book Graph Databases, published by O'Reilly Media. Jim is an active speaker, presenting regularly around the world. His blog is located at jimwebber.org and he often tweets @jimwebber.
Upon registration, you should receive an email with the subject: You are now registered...with a specific webinar link.
If you do not receive this email, please contact firstname.lastname@example.org