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 have a new release of APOC, Neo4j in RMarkdown, finding duplicate users, Cypher for Gremlin, and more.


This week’s featured community member is Irene Iriarte Carretero, Data Scientist at Gousto.

Irene Iriarte Carretero - This Week’s Featured Community Member

Irene Iriarte Carretero – This Week’s Featured Community Member

I first met Irene at a Neo4j London meetup 18 months ago when she was exploring whether her team could use graphs to make sense of recipe data.

Within 6 months of attending that meetup Irene had presented at the London meetup and written a blog post explaining how her team were now using Neo4j to build recipe ontologies.

Irene went on to present at GraphConnect NYC 2017 and at this week’s GraphTour London event. The London event wasn’t recorded but you can find the video from Irene’s talk in New York below.



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

Documentum Recommendation Engine, Russian Twitter Trolls, Finding Duplicate Users


APOC adds HDFS support, aggregation functions, and path functions


This week Michael released a new version of the popular APOC library. The library just crossed 500 GitHub stars so thanks to everyone for your support.

APOC Release

This release has lots of new goodies to play with, including support for writing and reading from HDFS, using S3 URIs when loading data, aggregation functions, full document indexing, path expander sequences, and much more.

The library now contains more than 400 procedures and functions so there’s bound to be something in there that’s useful for your project.

Don’t forget to star the project if it’s been helpful so that more people can find it.

Star

Cypher for Gremlin, Neo4j in RMarkdown, Cypher vs SQL aggregations


On the podcast: Jonathan Schmidt


This week on the podcast Rik interviewed Jonathan Schmidt, founder and CTO of Waykonect, a startup that offers intelligent vehicle management based on Neo4j.

Jonathan explains how Waykonect use Neo4j to map the relationship between the telematic dongle, the vehicle, the account that manages the vehicle, the driver that drives the vehicle, the trips that are recorded, events that happen on that trip, and the maintenance of the vehicle.

In a very interesting technical discussion they also talk about the rest of Waykonect’s architecture, including Kafka as the messaging back bone and InfluxDB for time series analysis.

Next Week


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

Date Title Group Speaker

March 5th 2017

Machine learning, Knowledge base & Amazone Alexia, le tout avec du Graphe !

Graph Database – Paris

Dr. Vlasta Kus, Christophe Willemsen

March 6th 2017

GraphTour Paris

Graph Database – Paris

Mix of Neo4j and customer speakers

March 6th 2017

Copenhagenizing Graph Databases: Demos and Real-World Applications

Copenhagen Graph Databases Meetup

Thomas Frisendal, Maria Scharin, Fabio Lamanna and Omar Rampado, Thomas Thejn, Pedro Parraguez

March 8th 2017

GraphTour Stockholm

Friends of Neo4j Stockholm

Mix of Neo4j and customer speakers

March 8th 2017

Data Science in Practice: Importing and Visualizing Facebook Data Using Graphs!

Graph Database – San Francisco

Ray Bernard, Jennifer Webb

Tweet of the Week


My favourite tweet this week was by David Meza:

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

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

Cheers, Mark

 


2 Comments

Jonathan’s integration of neo4j with Waykonect sounds super interesting, will definitely be checking out the podcast. It would be great if you could embed SoundCloud podcasts directly into future blog posts 🙂

Mark Needham says:

Good idea! I’ll embed it in future posts.

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