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Catch this week's GraphCast: How Lyft Drives Data Discovery

#GraphCast: How Lyft Drives Data Discovery

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Managing Editor, Jocelyn Hoppa, shared a reminder that GraphConnect 2020 Early Bird pricing is ending soon – as in October 1 soon! Don’t forget to sign... read more


Check out this interview with Lyft about using Neo4j.

Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft

For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library. Mark Grover is a product manager at Lyft, working on data projects. He is a founder of the open-source data discovery platform Amundsen, which we'll be getting into today.... read more


Learn how to innovate on real-time recommendations with Neo4j.

5 Ways to Innovate and Delight Users with Real-Time Recommendations

Predictive systems, like recommendation systems, have become an extremely important source of new revenue growth and have proven to improve user stickiness. Because of their direct impact on top-line revenue through the organic use of enterprise data, recommendation systems are being... read more


Discover the latest improvements to the Neo4j Graph Algorithms library.

Faster, Smarter, Better: Optimizations for Neo4j Graph Algorithms

We’re happy to share recent improvements to the Neo4j Graph Algorithms library. These updates include optimizations at several layers, improved configuration and usability, as well as specific feature requests. A big "thank you" to those who provided suggestions on how to better serve... read more


This Week in Neo4j – NODES 2019 Preview: Knowledge Graphs, Building a SurveyMonkey Clone, Sentiment Analysis with Neo4j and GCP

This week we preview the Knowledge Graph talks at the NODES 2019 conference and we learn how to do sentiment analysis with Neo4j and GCP NLP. Stefan Dreverman continues his series on building questionnaires using Neo4j, Max De Marzi builds a property graph, and there’s a paper... read more


SQL Server Advocate Turns Graph:
5-Minute Interview with Dee Pandian

"I got a fairly big data set, around 2 gigabytes, and I created the same kind of relationships in SQL Server and in Neo4j. When I got the results back, that was a wow moment,” said Dee Pandian, Deputy Director of CyForce at Jacobs Engineering. In this week's five-minute interview... read more