Handling Highly Connected Data with the Neo4j Graph Database

Comments

Comments are closed.

Martyn Ranyard at 14:14 on 5 Oct 2014

Really enjoyable talk from an enthusiastic speaker.
Funny and informative.

Enjoyable talk and whilst there were a lot of questions at the end, I suspect that's because Michelle managed to get across her enthusiasm for a project most of us hadn't heard about or considered before hand. I, personally, would have liked a bit more details about how to use it in a "recommendation engine" style setup (the recipes system didn't quite show Neo4J's potential in my opinion).

Very good introduction into Neo4j. Presented in a funny and enthusiastic manner.
Michelle covers a lot of ground in this talk and does an excellent job of demonstrating how to get started with Neo4j. The demo code was very clear and explained nicely and made me wanna jump right in.

I think you could make this into a really great talk by pointing out a bit more the "why" and in which situations you would want to use a graph database.
And enhance on the recipe example to make it more complicated so it really shows the power of using Neo4j in solving some problems that are really hard for relational databases to solve.

A super talk with plenty of smiles both from the speaker and the delegates. The delivery style was great too: Michelle didn't try to explain every aspect of Neo4j in depth, but instead guided the audience around the subject and then let the questions at the end fill in the gaps. It worked very well. Thank you

Great talk! I'm so glad I went to it. It was a very new thing and considering the questions asked, it was definitely well covered and explained. Really made me want to try out and I will try using it in one my future projects. Thank you!

Thrilled to bits to find a graph database talk, Michelle covered some of the theory and bravely (and successfully) demoed neo4j in action.

Loved the presentation style.

A small bit of constructive feedback, I would have like to have had a slide or two cover some "Graph Theory" that explain some of the additional practical uses for network graphs - but that's a personal preference