This week Anurag Tandon shows us how to do Near Natural Language Search in Bloom, and we saw the release Neo4j Enterprise Causal Clustering on Pivotal Container Service (PKS).
We also learn how to use Siren, an investigative intelligence platform, with Neo4j, and Dave Fauth has started a series of posts connecting Neo4j, MySQL, and Kafka.
Featured Community Member: Dr Vlasta Kus
Our featured community members this week is Dr Vlasta Kus, Data Scientist at GraphAware.
Dr Vlasta Kus – This Week’s Featured Community Member
Vlasta has been part of the Neo4j community for several years, and has been one of the main thought leaders in the area of graph based machine learning.
Vlasta has presented at multiple Neo4j meetups on topics like Graph Based Machine Learning and Graph-Powered NLP. And this week Vlasta presented a very popular talk on AI and NLP at GraphTour Chicago.
Excited to see @VlastaKus from @graph_aware discuss their HUME AI solution and knowledge graphs at #Neo4j #GraphTour. Their booth has been busy – definite graph pros at @graph_aware ! pic.twitter.com/ARzlb0wEjC— Lance Walter (@lancewalter) July 18, 2019
On behalf of the Neo4j community, thanks for your work Vlasta!
Near Natural Language Search in Bloom (Video #2 in Bloom Series)
In the 2nd video of Anurag Tandon‘s series of videos on Neo4j Bloom, the graph visualisation tool, we learn about near natural language search.
With the help of a finance dataset, Anurag takes us on a guided tour of Bloom’s search capabilities, including basic search terms, search phrases, and pattern based search.
Getting Started with Neo4j on Pivotal Container Service (PKS)
David Allen announced the release of Neo4j Enterprise Causal Clustering on Pivotal Container Service (PKS), Pivotal’s Enterprise Kubernetes platform.
This distribution makes it possible to quickly and easily spin up a clustered, highly available graph database on top of Kubernetes.
Browsing Neo4J data with Siren 10.2: For fun and fraud fighting
Siren is an investigative intelligence platform that recently added first level support for graph databases.
Giovanni Tummarello has written a detailed tutorial explaining how to use this new functionality to hunt down fraudsters in a financed graph stored in Neo4j.
Neo4j – Kafka – MySQL: Configuration – Part 1
Dave Fauth has started a series of posts showing how to stream data from MySQL into Kafka, and from there into Neo4j .
In the first post Dave sets up Maxwell’s Daemon to stream data from MySQL to Kafka, and configures a Neo4j cluster with Neo4j Kafka Streams to connect to a Kafka server.
Neo4j Graph Algorithms Release — Memory Requirements, Concurrency Settings, Bug Fixes
We released a couple of new versions of the Graph Algorithms Library over the last few weeks.
These releases introduce a procedure to compute the memory requirements of running graph algorithms, more fine grained control over concurrency settings, as well as usability and bug fixes.
Tweet of the Week
My favourite tweet this week was by Christophe Willemsen:
.@neo4j did you know Switzerland had a 10 francs Leonard Euler note? pic.twitter.com/69E6KwevJh— Christophe Willemsen (@ikwattro) July 15, 2019
Don’t forget to RT if you liked it too.
That’s all for this week. Have a great weekend!