Decyphering your graph model + Query Graphs with "Graph"QL­

This month we have Mark Needham talking about using GraphQL with Neo4j and Dom Davis explaining how to decypher your graph model.

Please make sure you sign up on the Skillsmatter page (https://skillsmatter.com/meetups/9805-the-graph-native-advantage) as well for quick entry into the venue.

Decyphering your graph model
Dom Davis, CTO, Tech Marionette

The property graph — which is a midway point between many nodes holding no data, and one node holding all the data — is just an abstraction that saves us from the insanity that could otherwise ensue. But is this the only abstraction we can use? Sometimes it makes sense to look at your data from higher levels, using the language of the domain and leaving the nitty-gritty to those who actually need to understand it. This session is a quick look at one such layout where it's actually graphs all the way down.

About the speaker
Dom Davis is a veteran of The City and a casualty of The Financial Crisis. Not content with bringing the world to its knees he then went off to help break the internet before winding up in Norfolk. A seasoned developer, he is now CTO and technology evangelist at a shiny new startup that's doing bad things to innocent graphs. Dom is an enthusiastic and impassioned speaker [read: he gabbles] who uses a blend of irreverent sarcasm and flippant humour to bring complex subjects to a broad audience. Whether or not they understand him is up for debate, but he likes to believe they do.

Query Graphs with "Graph"QL­
Mark Needham, Developer Relations Engineer at Neo4j

Despite the “Graph” in the name, GraphQL is mostly used to query relational databases or object models. But it is really well suited to querying graph databases too.

In this talk, I’ll demonstrate how I implemented a GraphQL endpoint for the Neo4j graph database and how you would use it in your application.

About the speaker
Mark Needham is a graph advocate and developer relations engineer for Neo Technology, the company behind the Neo4j graph database.

As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com. He tweets at @markhneedham (https://twitter.com/markhneedham).