This Week in Neo4j: Batch vs. Stream, UX Survey, Kafka Example, Jupyter/Docker for Data Science, Deep Learning
By Elaine Rosenberg
May 22, 2021 4 mins read
Hello, everyone! We at Neo4j are working to continually improve the UX experience for our users. If you have the time, please consider meeting with us to discuss your experience with our products and what you would like to see… Read more →
Explore: batch • confluent • data ingestion • data science • deep learning • docker • graph • GraphXR • JHipster • Jupyter
Graph Analytics for Business Users: 5-Minute Interview with Robert Allison of Kineviz
By Jocelyn Hoppa
August 27, 2020 5 mins read
Check out this 5-minute interview with Robert Allison, Director of Product at Kineviz, as he discusses their products and graph analytics.
Explore: 5-minute interview • Graph Analytics • GraphXR • Kineviz • sql
This Week in Neo4j – Neo4j BI Connector, COVID-19, Supply Chain Management
By Mark Needham
March 28, 2020 5 mins read
Hi graph gang, I’m back to take over the TWIN4j reins. Thanks to Jennifer, Will, and Lju for curating the weekly graph news in my absence. In this week’s video, Calin Constantinov shows us how to make graph patterns show… Read more →
Explore: bi-connector • covid-19 • GraphXR • supply chain management • twin4j
This Week in Neo4j – Provenance with Neo4j, Data de-duplication, GRANDstack GitHub starter template, Understanding sentiment in space with NASA
By Mark Needham
June 29, 2019 3 mins read
This week Stefan Bieliauskas shows us how to model provenance data in Neo4j, and Lju Lazarevic takes us through some techniques for de-duplicating ingredients in the BBC Good Food Graph. We also have a new GRANDstack starter template and an… Read more →
Explore: GRANDstack • GraphXR • ObservableHQ • stackoverflow • twin4j
This Week in Neo4j – Women’s World Cup Graph, Bloom Sandbox, Exploring shell companies with graph algorithms
By Mark Needham
June 15, 2019 4 mins read
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… Read more →
Explore: data import • data journalism • Google Cloud • graph algorithms • GraphXR • Kineviz • Neo4j Bloom • Spotify • twin4j • Women's World Cup
This Week in Neo4j – Graph Visualization 101 with GraphXR, Neo4j for Google Cloud, Introducing NEuler — The Graph Algorithms Playground
By Mark Needham
April 13, 2019 4 mins read
The big news in the Neo4j Community this week came from the Google Cloud Next 2019 conference.
Explore: docker • Google Cloud • Google Cloud Next • GRANDstack • graph algorithms • GraphXR • Neuler • twin4j • Typescript
Adding GraphXR as a Graph App in Neo4j Desktop
By Jocelyn Hoppa
March 7, 2019 3 mins read
One of Neo4j Desktop’s most exciting new features is the incorporation of Graph Apps. Many of you are likely familiar with Graph Apps from using Neo4j’s in-house visualization product, Neo4j Bloom. Inspired by Bloom, Kineviz created a Graph App deployment… Read more →
Explore: geospatial visualization • Graph App • Graph Data • graph database • GraphXR • Kineviz • labeled property graph • Neo4j Bloom • Neo4j Desktop • virtual reality
Evaluating Investor Performance Using Neo4j, GraphXR and ML
By Jocelyn Hoppa
December 6, 2018 7 mins read
[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →
Explore: Data Visualization • graph database • graph filtering • graphical software • GraphXR • Kineviz • machine learning algorithm • machine learning analysis • neo4j • property graph