Welcome to This Week in Neo4j, where this week we have a presentation explaining why you need graph technology on Google Kubernetes Engine, as well as a blog post explaining how to reveal malware relationships using Neo4j. We also have the next part in the BBC GoodFood series, the graph technology landscape, and a novel approach for finding unique speakers from their voice print.

1. This Week in Neo4j
9th February 2019

2. Mark Needham
Developer Relations Engineer at Neo4j
mark.needham@neo4j.com / devrel@neo4j.com
@markhneedham
2

3. The week's graph database news
in one handy slide deck!
Find the archive at
neo4j.com/tag/twin4j

4. Featured Community Arsames Qajar
Learn more about Arsames

5. Last week David Allen and Gabriela Ferrari presented as
part of the Google webinar series. They start with an intro
to Google Cloud, GKE, and Neo4j, before showing how to
deploy a Neo4j Causal Cluster on GKE. They also show how
to do backup and restore, how to
scale the cluster, and finish with a
demo of Neo4j running on GKE.
Why You Need Graph Technology on GKE
Watch the video

6. Tstillz has written the first in a series of posts showing how
to analyse Malware with graphs. Tstillz explains how to
model this domain as a graph, loads some data from the
WannaCry ransomware attack into Neo4j,
and then shows how to write Cypher
queries to explore the dataset.
Revealing Malware relationships with Neo4j
Read the blog post

7. Last week Janos Szendi-Varga wrote a blog post launching
the Graph Technology Landscape map. It’s like Matt Turck's
Big Data Landscape, but for graphs, and covers
infrastructure, analytics,
visualisation, application
frameworks, graph query
languages and more.
Read the blog post
Graph Technology Landscape 2019

8. This week on the Graphistania podcast, Rik interviewed
Jess Mason and Jason Cox. They talk about their
introduction into the world of graph databases, the Cypher
Philly initiative that they’ve been running
for the last few years, as well as their
predictions for the future of graph
databases.
On the podcast: Jess Mason and Jason Cox
Read the transcript

9. Jan Zak has written a blog post describing a novel approach
to identify unique speakers from their voice print. Jan
describes an approach where we build a similarity graph
based on voice prints, before running
the Louvain community detection
algorithm to find clusters containing
the same speakers.
Speaker identification meets graphs
Read the blog post

10. I wrote part 2 of a series of posts on the BBC GoodFood
graph. This week we learn how to find recipes that contain
a set of ingredients that we have in our fridge, or
alternatively find recipes that don’t
contain a set of allergens.
What’s cooking? Part 2: What can I make with
these ingredients?
Read the blog post

11. If you liked this check
out the blog post
This Week in Neo4j - 9th February 2019