All of us have worked with relational DBs like MySQL or PostgreSQL, but for many use cases they aren't the best option. Graph databases have a simpler, more powerful model for handling complex related data. In this talk we'll work with Neo4j to explore the advantages of graph DBs. Attendees will learn the graph model, how graph DBs let you do things that are practically impossible with SQL, and the best options for integrating one into your application -- new or existing.


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Mitch Pash at 11:45 on 17 Mar 2017

Amazing hands on with Neo4J! I'll be using this a lot more now :)

Robert Radtke at 12:04 on 17 Mar 2017

Excellent info and Ed is a great speaker

David McKay at 12:19 on 17 Mar 2017

Fantastic speaker and material

Nathan Klatt at 13:00 on 17 Mar 2017

Great presentation; I want to graph-db the hell out of all the datas now!

Brian Fenton at 13:13 on 17 Mar 2017

Very cool system and good examples. Hard to make it not a bit of a sales pitch but it wasn't heavy-handed. Definitely about the tech vs the provider. Looking forward to exploring this more.

Ed's an experienced speaker and it shows.

Dave Buchanan at 13:15 on 17 Mar 2017

Very nicely presented. Good pace with each facet, starting with the 'basics' of a relational database and then outlining how graph-db is different. It was a great walk through, and the live demo of using it. One critique...Besides making it easier to query related data, I would have liked more reasons why one would want to use graph-db. But maybe that's a different topic.

Tomasz Korwel at 08:43 on 18 Mar 2017

At first sight it looked too good to be true, almost like a marketing speech.
But... you got me curious and now I'll go out there and try it myself. Good job!

Great talk--very good to see all the examples. I already knew graph databases conceptually but hadn't seen them in action--it was only then that those concepts were solidified and now I feel like I could get started using graph databases myself.

Anonymous at 09:20 on 20 Mar 2017