This week Mike Morley and Sony Green show us how to model and visualize borehole data with Neo4j and GraphXR, and we have a Neo4j Graph for the Women’s World Cup.
We also have a Bloom Sandbox, exploration of shell companies using graph algorithms, and a redesign of the developer mini site.
Featured Community Member: Sony Green
Our featured community member this week is Sony Green, Co-founder and Director of Business Development at Kineviz.
Sony Green – This Week’s Featured Community Member
We first ‘connected’ (pun-intended) with Sony in 2017, when Sony emailed our Director of Developer Relations, Ryan Boyd. At the time, Kineviz had built a graph visualization in virtual reality. If you haven’t had the opportunity to explore your data in an alternate universe, it’s definitely a unique experience.
Later that year, Kineviz set up a VR station in DevZone at GraphConnect NY where you could wander the connected world of GraphConnect attendees. Fast forward a lot of emails and a lot of love, Kineviz became an official Neo4j Partners. They also shifted their focus to GraphXR as their main visualization tool.
We can’t lie, it’s pretty darn cool! Sony and the Kineviz team have always made community a priority. They get involved in almost everything we do, contribute to the growth of the community, provide content, and more.
We are so appreciative for people like Sony. His enthusiasm for partnership and collaboration is unmatched and brings so much more substance to our whole community. Thank you, Sony, for being part of this movement with us!
3D Geological Modelling and Visualization with Neo4j and Kineviz GraphXR
In this week’s Neo4j Online Meetup, Mike Morley and Sony Green show us how to model and visualize borehole data with Neo4j and GraphXR.
You can read more about the project and ask the authors questions on this thread on the Neo4j Community Forum.
New Sandbox! Bloom – the Neo4j Graph Visualization Tool
Ryan Boyd launched a sandbox for Bloom, the Neo4j graph visualization, exploration, and communication tool.
This sandbox comes with the new web based version of Bloom and a Neo4j database containing a fraud dataset. Try out codeless exploration of graph data. We think you’re gonna love it!
Graph databases for journalists: Using graph algorithms to explore the participation of shell companies in public procurement
In the 2nd part of the Graph databases for journalists series, Dagoberto José Herrera Murillo shows how to use graph algorithms to explore the participation of shell companies in public procurement.
Google Cloud Infrastructure Graph, Neo4j Developer Mini Site redesign, Importing data from Google Cloud Storage
- Jennifer Reif launched the redesign of the Neo4j Developer mini site. We hope you like it, and if you have any feedback or ideas, please let us know by sending an email to firstname.lastname@example.org
- Carly Schneider and Fredrik Gustafsson wrote an experience report of a Spotify Hackday, during which they created a Neo4j graph of their Google Cloud infrastructure.
- Marcel-Jan Krijgsman created a video showing how to load data on all orbital launches and satellites into Neo4j, and visualize the data in Neo4j Desktop.
- In part 2 of his series on loading data into a remote Neo4j instance, Andrew Jefferson shows us how to upload a local directory to Google Cloud storage and create secure, time-limited URLs that we can use to read the csv files from Neo4j.
Women’s World Cup Graph
The Women’s World Cup started last weekend, so we dusted off our World Cup scraping scripts and created a Women’s World Cup Graph.
If you want to explore the data, we’ve created a World Cup Sandbox that contains the data and a built in guide with queries to find top scorers, tournament winners, and more.
Tweet of the Week
My favourite tweet this week was by Trausti Dagsson:
Don’t forget to RT if you liked it too.
That’s all for this week. Have a great weekend!
About the Author
Mark Needham & Karin Wolok
Mark Needham is a graph advocate and developer relations engineer at Neo4j.
As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com. He tweets at @markhneedham.
Karin Wolok has worked for some of the most-renowned individuals and companies in the world, launched a successful professional women’s network in two major cities in the U.S., and developed a consumer concert experience program for the largest global entertainment company.
Transitioning her career from entertainment to technology, she became the first hire for a venture-backed start-up company in Philadelphia, where she went from working “rap battles to robot battles.” She found her passion in working with software engineers and programmers.
Within less than two years with the company, she became a notable leader in community development within the tech space in Philadelphia.
She is motivated by bring success and positive energy to the lives of those around her and prides herself in her ability to network and connect with individuals.
And just like in Neo4j, relationships are key!