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This week in Neo4j - 9th February 2019

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.

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This week in Neo4j - 9th February 2019

  1. 1. This Week in Neo4j 9th February 2019
  2. 2. Mark Needham Developer Relations Engineer at Neo4j / @markhneedham 2
  3. 3. The week's graph database news in one handy slide deck! Find the archive at
  4. 4. Featured Community Arsames Qajar Learn more about Arsames
  5. 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. 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. 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. 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. 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. 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. 11. If you liked this check out the blog post This Week in Neo4j - 9th February 2019