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 we’ve got the finalised FOSDEM Graph Processing Room schedule, an updated Azure template, knowledge graphs, and more!


This week’s featured community member is Chris Leishman, Head of Product – PegaSys at ConsenSys.

Chris Leishman - This Week’s Featured Community Member

Chris Leishman – This Week’s Featured Community Member

Chris worked for Neo4j from 2012 – 2016 and spent a lot of time working with Neo4j customers, gaining knowledge which he shared in his GraphConnect San Francisco 2015 talk and accompanying blog post.

Chris has also presented at many meetups and led Neo4j training courses in the US, across Europe, and in Australia.

More recently Chris created and maintains the Neo4j C client and libcypher-parser, a parser library and linter for the Cypher query language.

On behalf of the Neo4j community, thanks for all your work Chris!

From GraphConnect: Knowledge Graphs – The Path to Enterprise


At GraphConnect NYC 2017 Michael Moore and AI Omar Azha shared their experience building knowledge graphs.



They explain why graphs are a terrific accelerator for mobilising data and show how to design an architecture that puts a graph layer over a data warehouse or data lake.

FOSDEM Graph Processing Room Schedule


The schedule for the Graph Processing room at FOSDEM has been finalised and it looks like it’s going to be a fun day.

FOSDEM Graph Processing Room

FOSDEM is run over the weekend of the 3rd and 4th February 2018 at the ULB Solbosch Campus in Brussels, Belgium. The Graph Processing Room is on the Saturday. I attended in 2015 and it was great fun seeing all the different things people were doing with graphs. I’d recommend going along if you can.

Neo4j on Azure template updated


We’ve released a new version of the Azure template to support the latest version of Neo4j Enterprise.

Neo4j on Azure

This update also address problems users have experienced with the template due to a change in the portal UI. You can find the updated template in the Azure marketplace

Neo4j on Windows, xhprof analysis, What is a graph database?


    • Chris Skardon shows off some of his favourite tips and tricks when installing install Neo4j on Windows from the Zip file distribution.
    • The video from Lju Lazarevic’s What is a graph database? talk at the Connected Data London conference is now available. If you’re looking for a quick and easy to understand presentation to share with your colleagues this is a good one to share.
    • Rohit Khatana has written an article showing how to integrate Neo4j with Java using Neo4j OGM.
    • Florian Klein created xhprof-analyze, a suite of tools to store, analyze and compare output of Tideways XHProf Extension – a hierarchical Profiler for PHP.
    • If you’re working on the bleeding edge we released Neo4j 3.4.0-alpha05 earlier this week. This release has bug fixes for handling concurrent constraint creation and returning array properties from Cypher.

From The Knowledge Base


Don’t forget that you can see all knowledge base articles by going to neo4j.com/developer/kb. If there’s something that you’d like to know but can’t figure out, send us an email devrel@neo4j.com and we’ll help you out.

Next Week


What’s happening next week in the world of graph databases?

Date Title Group Speaker

January 17th 2017

Querying graph data by example from genomics – Part 3

Graph Database – NRW

Iryna Feuerstein

January 17th 2017

Twitter Bot Analysis with Graph Analytics and NLP

Graph Database – Berlin

Michael Hunger

Tweet of the Week


My favourite tweet this week was by Garrigos Adrian:

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 Image

Mark Needham is a graph advocate and developer relations engineer at Neo4j.

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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