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 PHP application -- new or existing.

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Rated 5

Mark Railton at 18:10 on 3 Feb 2017

Superb talk. I had heard of graph dbs before but never researched it and Eds talk gave a brilliant overview into how simple they can be for some complex questions compared to more traditional dbs like MySQL

Rated 4

Chris Hartjes at 20:18 on 3 Feb 2017

Ed would like to do a graph of these votes

Rated 5

Eric Morris at 11:39 on 4 Feb 2017

I had some familiarity with Graph Theory before this talk. That being said, it was hard for me to see this applied to a database paradigm. Ed made this easy for me, and I think others, to understand. Clearly, this is a tool for a specific type of need, but I can see where any kind of data mining would benefit from this technology. Thanks for the talk Ed.

Summarized and to the point concepts, examples, cases and applications.

Rated 5

Joshua Sampia at 14:41 on 4 Feb 2017

I may not ever get the chance to use a graph database but I am totally hooked for side projects. Great talk. Also, on a personal note, can't underestimate the important work of OSMI.

Rated 5

Rodrigo Vieira at 17:10 on 4 Feb 2017

Awesome talk. Great overview of graph databases, it's advantages and use cases.

Rated 4

David Stanley at 17:53 on 4 Feb 2017

Ed did a great job of explaining how you can use a graph db from a high level. I'd like to learn a little more about how to build the schema and load data into a graph db.