Jim Webber with Asurion’s Julie Fisher on Her Singular Path to Graph

At this year’s NODES 2021 closing keynote, Dr. Jim Webber, Neo4j’s Chief Scientist, unearthed some of Neo4j’s most varied and vibrant community members and customers to give them a chance to tell their graph stories. As he said in his… Read more →

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This Week in Neo4j – GraphXR, CARD, Relational vs. Graph, Azure Functions, Neo4j Spring Data 6, Load JSON, Videos Galore

Hello, everyone! We hope that some of you were able to attend the hands-on training sessions that the developer relations team members conducted last week. We had a great turnout for these sessions, which were recorded. This week, we feature… Read more →

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#GraphCast: Graphs Eat Complexity for Breakfast

Check out this week’s #GraphCast series to discover how graphs make complex problems manageable and easy to explore.

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This Week in Neo4j – DeFi Blockchain Graph, FlatData, NER with SpaCy, NODES talks on API, App Development, DevOps, GraphQL, Bloom, Visual Query Builder

Hello, everyone! I’m leaving for some time off next week but I don’t want to leave you without the weekly update from the Neo4j ecosystem. I have three call-outs to make, and then let you digest the amazing content from… Read more →

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How to Build a Knowledge Graph from Scratch Even If You’re Not a Full-Blown Developer

Read this step-by-step guide to building a knowledge graph from scratch even if you’re not a full-blown developer.

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This Week in Neo4j: Batch vs. Stream, UX Survey, Kafka Example, Jupyter/Docker for Data Science, Deep Learning

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 →

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How graphs help marketers get super slick on user data

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2020 CRN Big Data 100: 12 Database System Companies to Consider

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COVID-19 with GraphXR and Neo4j

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We Build a Knowledge Graph on COVID-19

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Graph Databases for Beginners: Wait, What Do You Mean by “Graph”?

Learn the difference between a graph and a chart, including the basics of nodes and relationships as well as graph theory and its application to databases.

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Getting Started with the Microsoft Concept Graph in Neo4j

What does the study of concepts (or categories, depending on your field of study) tell us about the human mind? A result of the Probase research project, the Microsoft Concept Graph harnesses billions of web pages and search logs to build a huge graph of relations between words (like “apple”) and their concepts (like “fruit” or “hardware company”). Using this data, the team at Microsoft hopes to build better search engines, spell-checkers, recommendation engine, taxonomies and more.

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Why We Just Raised a $36M Series D – and What’s Next for the Graph Space

I’m incredibly excited to announce that the Neo4j team has just raised $36 million in a series D funding round. I am glad to welcome Greenbridge Investment Partners to the graph of Neo4j investors, and I’d like to thank all… Read more →

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Graphs Are Feeding the World

Editor’s Note: This presentation was given by Tim Williamson at GraphConnect San Francisco in October 2015. Here’s a quick review of what he covered: The needs of a growing population Leaps in scientific research Increasing crop yields with graph databases… Read more →

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How Graphs Deliver our Strategic Vision at Packt Publishing

Editor’s Note: This presentation was given by Greg Roberts at GraphConnect Europe in April 2016. Here’s the TL;DR of what he covered: Automated metadata generation using Stack Overflow tags and topic keywords Adding an ontology for context Parsing ebooks for… Read more →

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The 5-Minute Interview: Kent Lovestjärna, Digital Media Manager at Hästens

For this week’s 5-Minute Interview, I caught up with Kent Lovestjärna, the Digital Media Manager at Hästens Sängar in Köping, Sweden. I chatted at Kent while we were at GraphConnect Europe. Here’s what we discussed: Q: Talk to me about… Read more →

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From Good to Graph: Choosing the Right Database

Editor’s Note: Last October at GraphConnect San Francisco, Clark Richey – Chief Technology Officer at FactGem – delivered this presentation on his database decision path toward Neo4j. For more videos from GraphConnect SF and GraphConnect Europe, check out graphconnect.com.. I’m… Read more →

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Neo4j 3.0 and the Graph of the Universe

The Cosmic Web Paper by the Barabasi Lab After I came across this tweet the other night, Turns out the universe is just a very big graph database: https://t.co/tKkTLnNpqK pic.twitter.com/hh4s5pKWPI— David J Carr (@djc1805) April 22, 2016 I checked out… Read more →

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Your Technical Documentation Should Be a Graph: Here’s Why

TL;DR: This blog post is mainly about how technical documentation should ideally be structured: as a graph (not to be confused with a chart). As a software developer and author I have had the chance (and also the obligation) to… Read more →

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A Graph-Specialized ETL: Taking Citizens into a Graph and Keeping It Up to Date

In this post I want to talk about the challenges we faced during our graph journey and how we overcame them. The outline of this post is as follows. Why do we need ETL and sync from SQL to a… Read more →

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