This week we learn how to supercharge developer productivity with the latest release of neo4j-graphql.js, there's a new release of the Kettle plugins for Neo4j, we have a GraphConnect experience report, and blog posts showing how to use the new Jaccard and Cosine Similarity algorithms.
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The week's graph database news
in one handy slide deck!
Find the archive at
Featured community member: Ralf Becher
Learn more about Ralf
Matt Casters released a new version of the Kettle plugins
for Neo4j. This version adds Metadata Injection support to
handle more complex scenarios.
New Kettle plugins released
Download the Kettle Neo4j Plugin
My colleague Elaine Rosenberg has created a video that
shows how to get up and running with the Neo4j Sandbox.
We have several sandboxes with built in datasets such as
the Panama Papers and Russian Twitter
Trolls, but you can also create a blank
sandbox if you just want to play with
Neo4j and can't install locally.
Watch the video
Creating a Neo4j Sandbox
Will Lyon announced a new version of neo4j-graphql.js,
which now makes it possible to spin up a GraphQL API
backed by a graph database with just type definitions. If
you haven’t tried out GraphQL with
Neo4j, now is the time!
Announcing New Features In neo4j-graphql.js
Read the release blog post
Tomaz Bratanic has written a blog post in which he shows
how to build a similarity graph of product categories using
the newly added Jaccard Similarity algorithm. He then runs
the Label Propagation algorithm over
the similarity graph to find communities
amongst those categories .
Product Category Community detection based on
Read the blog post
Max De Marzi has written a blog post in which he shows
how to write a stored procedure to efficiently find a node’s
neighbors. Max’s approach will soon be added to the APOC
Efficiently finding your neighbors using Neo4j
Read the blog post
If you liked this check
out the blog post
This Week in Neo4j - 6th October 2018