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This Week in Neo4j – Why Kettle?, Pokémons in a Graph, Influencers in the Graph Community

Blog post from Neo4j

Post Details
Company
Date Published
Author
Mark Needham
Word Count
644
Company Posts That Month
19
Language
English
Hacker News Points
-
Post removed?
No
Summary

This week's featured community member is Mayank Gupta, a Certified Neo4j Developer who created a YouTube channel creating Neo4j tutorial videos in Hindi. Igor Rozani taught the meetup about the Pokémon universe using graphs, while Andrea Santurbano showed how to produce and consume Kafka data streams directly via Cypher with Streams Procedures. Tomaz Bratanic explored the Depth First Search algorithm, and Jennifer Reif discussed why you'd use Kettle for Neo4j data import. The community also shared various tweets and blog posts on topics such as influencer detection in the Graph Database community and performance differences between "Relationship as Types" vs "Relationship as Properties".

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