Hi graph gang,
In this week’s video, Adam Cowley starts a video showing how to build web applications with Neo4j and TypeScript.
Stefan Dreverman builds a new module in the low code platform, Rik Van Bruggen explains what Fraud Detection and Contact Tracing have in common, and Alicia Frame announced the release of version 1.3 of the Graph Data Science Library.
And finally, Preet Kanwar has started a blog post series showing how to build a Neo4j backed application with Spring Boot and Kong.
Featured Community Member: Paul Jongsma
This week’s featured community member is Paul Jongsma, Owner of WEBtic Internet Consultancy.
Paul Jongsma – This Week’s Featured Community Member
Paul has been active in the Neo4j community for years and has been consistently contributing. He’s a Neo4j Certified Professional (of course!) who has shared his graph journey with the Neo4j community through interviews and podcasts.
Paul loves solving challenging problems and is always hungry to learn more while helping others. This is why it’s no surprise that he is a rock star as part of the Neo4j Ninjas Program, where graph-enthusiasts are rewarded for helping others through answering questions on the Neo4j Community Site.
His passion for helping is so apparent, that even during the exclusive Ninja presentations, Paul is chiming in providing links and resources for further learning on the topic presented, acting as a side-kick to the speaker!
Paul, we would like to thank you on behalf of the Neo4j team and all the community members you’ve helped along the way! Thank you for being such an invaluable part of our community!
Building Web Applications with Neo4j and TypeScript: Integrating Neo4j with NestJS
This week’s video is part of Adam Cowley’s series showing how to build web applications with Neo4j and TypeScript.
Adam shows us how to create the scaffolding for a Neo4j project that uses NestJS, a framework for building Node.js server side applications.
Graph Data Science Library 1.3: Graph Embeddings and more
Alicia Frame announced the release of version 1.3 of the Graph Data Science Library.
This release sees the introduction of graph embedding algorithms, RBAC integration, support for weights in the node similarity algorithm, and more.
The latest version of the library is available from the download centre.
Building a low-code platform with Neo4j: The Rabbit Hole
Stefan Dreverman continues his series of blog posts showing how to build a low-code platform with Neo4j.
In the final article in the series, Stefan shows how to add a module for a questionnaire into the low code platform. We learn how to design the meta model and build the UI and backend to wire everything together.
Loading CSV data, Neo4j Desktop Release, Visualizing graphs with 3d-force
- Godwin Ekuma has written a tutorial for getting started with Neo4j.
- Andreas Kollegger and Liza Shkirando showed off the new features in the latest versions of the Neo4j Browser and Neo4j Desktop in a recent online meetup.
- Jérôme Bâton explains how to use the APOC library to read dynamic properties while importing data into Neo4j.
- Rik Van Bruggen explains what Fraud Detection and Contact Tracing have in common.
- In the latest episode of Graphistania, Rik and Stefan Wendin share their experiences living through the COVID-19 lockdowns as well as talking about some of the interesting things the Neo4j community have been up to over the last few months.
- Vivek Maskara published a tutorial showing how to load data from CSV files into Neo4j.
- Michael Hunger showed how to visualise graph data using React and the 3d-force graph visualization library.
How To Build Graphql API with Spring Boot, Neo4j and Kong
Preet Kanwar has started a blog post series showing how to build a Neo4j backed application with Spring Boot and Kong, an open-source API gateway and microservice management layer.
In the first post, Preet gives an overview of how to use GraphQL and Spring Boot together and explains the main concepts to be aware of when working with GraphQL.
Tweet of the Week
My favourite tweet this week was by Pradeep:
So Cypher is the SQL equivalent— Pradeep (@TechieOK200) July 8, 2020
A Graph is composed of Nodes and Relationships.
Nodes can have labels.
Relationships are created as directional but can be queried bi-directional
I started learning 🙂#Neo4j
Don’t forget to RT if you liked it too!