Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days.


This week’s featured community member is Michelle Sanver, Software Developer at Liip.

Michelle Sanver - This Week's Featured Community Member

Michelle Sanver – This Week’s Featured Community Member

Michelle has been a member of the Neo4j community since 2013 and has presented multiple presentations focused frequently on the use of PHP and Neo4j, but also going into the internals of the database.

Michelle also created omnomhub, a recipe site for people who like to alter recipes, if ever so slightly. It’s like Github, but for cooking.

Outside of the Neo4j ecosystem Michelle is the President of PHP Women and is a strong advocate for gender diversity in the industry.

On behalf of the Neo4j community thank you for all your work Michelle!

Thinking in Graphs, OWL to Neo4j, Analysing event data


Thinking in Graphs, OWL to Neo4j, Analysing event data in this week’s #twin4j


Intro to Cypher


We didn’t have an online meetup this week so our video of the week is an Intro to Cypher presented by my colleague Will Lyon.



If you’re new to Neo4j or the Cypher query language this is a great starting point. Will takes you on a journey where he uses data from the Yelp Dataset Challenge to introduce the graph data model, import the data into Neo4j, and then run queries against it

Learn about Cypher with @lyonwj in this week’s #twin4j


Swagger UI for Intermine, The Note taking graph, Hybrid recommendations


Next Week


Next week is a very busy one for events in the world of graph databases. Hopefully there’s something near you and if not there’s always the online meetup.

#neo4j events next week in Berlin, Columbia, and New York! #twin4j


Tweet of the Week


My favourite tweet this week was by Michael McDonald:

Don’t forget to RT if you liked it too.

That’s all for this week. Have a great weekend!

Cheers, Mark

 

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About the Author

Mark Needham, Developer Relations Engineer

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.


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