This week Bea Hernández shared the slides from her talk at SatRDays on my favourite two topics – football and graphs! The Kafka connector that we’ve previously featured was released in the Confluent Marketplace, and Michael Hunger showed us how to analyse StackOverflow data using the Neo4j Graph Algorithms library.
GraphTour EU continues after a week’s break. The next two locations are Stockholm on 5th March, and Berlin on 12th March. There are still tickets available, so don’t forget to register if those two cities are local to you!
Featured Community Member: Jhonathan de Souza Soares
This week’s featured community members is Jhonathan de Souza Soares.
Jhonathan de Souza Soares – This Week’s Featured Community Member
Jhonathan is an educator at Universidade Estadual de Campinas, a .NET Architect, a Microsoft MVP, and a Certified Neo4j Developer from São Paulo, Brazil.
Jhonathan has been very engaged in the Neo4j community for many years. He’s actively involved in the organization of regional NoSQL conferences and many local meetups in his area. Frequently, he presents on Neo4j-related topics at these events. In addition to his activity in the local tech community in Sao Paulo, his self-determination and motivation to help others learn and adopt graph databases into their stack has motivated him to volunteer to translate the EBook: Definitive Guide to Graph Databases to Portuguese.
He was also the first in our community to register his local event for Global Graph Celebration Day for April 15th!. As a community, we would like to thank you for all that you do for us, Jhonathan!
All About the Kafka Connect Neo4j Sink Plugin
Michael Hunger and Andrea Santurbano published an article on the Confluent blog announcing the release of the Kafka Connect Neo4j Sink on Confluent Hub.
This release builds on the Kafka Sink – Neo4j extension that we’ve previously featured, but now makes it available via remote connections over the binary bolt protocol. This means that you can now stream your events from Apache Kafka® directly into Neo4j to create, update and enrich your graph structures.
On the podcast: Amy Hodler
This week on the Graphistania podcast, Rik interviewed Amy Hodler, Graph Analytics and AI Program Manager at Neo4j.
Amy is the author of the upcoming O’Reilly book Graph Algorithms: Practical Examples in Apache Spark and Neo4j. The book will be released in Spring 2019, but you can view an Early Access version via O’Reilly’s Safari platform.
They talk about Amy’s experience writing the book, her path into the world of graphs via books written by Nassim Nicholas Taleb and James Gleick, and Amy’s predictions for the future of graphs and AI.
How to Automate Neo4j Deploys on Azure
David Allen continues his series of posts showing how to automate Neo4j deployments on the major cloud platforms, this time sharing his automation scripts for Microsoft Azure.
TagOverflow – Correlating Tags in Stackoverflow
In this week’s Neo4j Online Meetup, Michael Hunger shows us how to analyse StackOverflow data using the Neo4j Graph Algorithms library.
Michael shows how to compute tag correlations using the Jaccard Similarity algorithm, and then use those correlations to run other graph algorithms, such as PageRank, Betweenness Centrality, and Label Propagation.
Michael also published his work in a blog post back in December 2018.
Football meets graphs
Last weekend Bea Hernández presented Football meets graphs at the SatRDays conference.
Bea shows how to model football matches in a graph, and then home advantage and competitiveness using matches from La Liga and the Premier League.
Tweet of the Week
My favourite tweet this week was by Marc Duby:
Meta analysis of single variant (orange) association with phenotypes (blue) that are grouped by phenotype family (pink) pulled from a #neo4j graph DB. pic.twitter.com/TmDDcZe7Mf— Marc Duby (@geneticsdev) February 26, 2019
Don’t forget to RT if you liked it too.
That’s all for this week. Have a great weekend!