Transforming Innovation: Digital Twin for the Win!
By Enzo
January 6, 2022 7 mins read
Find out what a digital twin can do for your business as well as how you can build digital twins on top of a knowledge graph.
Explore: computing • data • digital twin • graph • graph database • innovation • Knowledge Graph • neo4j • system
12 NODES 2021 Talks You May Have Missed
By Enzo
December 29, 2021 3 mins read
Check out the coolest graph stories and projects from Neo4j Developer Expo and Summit 2021 you may have missed.
Explore: 2021 • conference • cypher • Developer • emil eifrem • graph • graph database • GraphQL • Knowledge Graph • ML
Neo4j as an Embedded Database: When Does Embedding a Graph DB Make Sense?
By Enzo
December 23, 2021 9 mins read
Discover when it makes sense to embed a graph database into your application for added value and functionality.
Explore: Connected Data • database • embedded database • embedding • flexibility • graph • graph data model • graph database • modeling • neo4j
From Graph to Knowledge Graph: How a Graph Becomes a Knowledge Graph
By Enzo
November 5, 2021 6 mins read
Discover the process a graph has to go through to become an interconnected, manageable and useful knowledge graph.
Explore: 360-degree view of customer • Connected Data • Decision Making • graph • Knowledge Graph • nasa
From Graph to Knowledge Graph: Data Trends and Challenges
By Enzo
October 21, 2021 4 mins read
Discover the biggest data trends and challenges today, which requires you to connect your data into a manageable and useful knowledge graph.
Explore: cloud • data lakes • data trends • Enterprise • graph • Knowledge • Knowledge Graph • silos
Jim Webber with Asurion’s Julie Fisher on Her Singular Path to Graph
By Angela Zimmerman
October 14, 2021 10 mins read
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 →
Explore: AML • Asurion • Connected Data • fraud detection • graph • graph technology • Interview • Jim Webber • nodes
This Week in Neo4j – GraphXR, CARD, Relational vs. Graph, Azure Functions, Neo4j Spring Data 6, Load JSON, Videos Galore
By Elaine Rosenberg
September 18, 2021 6 mins read
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 →
Explore: antibiotic • APOC • Aura • azure • Bloom • CARD • cypher • data science • Data Visualization • dependency injection
#GraphCast: Graphs Eat Complexity for Breakfast
By Enzo
August 27, 2021 2 mins read
Check out this week’s #GraphCast series to discover how graphs make complex problems manageable and easy to explore.
Explore: graph • graph database • graph technology • GraphCast
This Week in Neo4j – DeFi Blockchain Graph, FlatData, NER with SpaCy, NODES talks on API, App Development, DevOps, GraphQL, Bloom, Visual Query Builder
By Michael Hunger, Developer Relations
July 24, 2021 6 mins read
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 →
Explore: API • application • blockchain • bloodhound • Bloom • book • cypher • data • database • DevOps
How to Build a Knowledge Graph from Scratch Even If You’re Not a Full-Blown Developer
By Enzo
May 26, 2021 10 mins read
Read this step-by-step guide to building a knowledge graph from scratch even if you’re not a full-blown developer.
Explore: cancer • cancer research • drug discovery • graph • Knowledge Graph • knowledge graphs • neo4j • nodes
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
How graphs help marketers get super slick on user data
By Applied Marketing Analytics - January 1, 2020
Explore: data • emil eifrem • graph • marketers
2020 CRN Big Data 100: 12 Database System Companies to Consider
By Solutions Review - May 1, 2020
Explore: graph • Graphdatabase • neo4j • queries
COVID-19 with GraphXR and Neo4j
By Medium - April 25, 2020
Explore: COVID • covid-19 • graph • neo4j • pandemic
We Build a Knowledge Graph on COVID-19
By ODBMS - March 30, 2020
Explore: COVID • covid-19 • graph • Statistics
Neo4j 4.0 erschienen: Der Fokus liegt auf Performance und Skalierbarkeit
By JAXenter - February 5, 2020
Explore: data • development • emil eifrem • graph • Graph Databases • Scalability
Podcast: Neo4j’s mad scientist Michael Hunger on graphs, databases and relationships
By Podcast - January 24, 2020
Explore: graph • Michael Hunger • podcast • relationships
Graph Databases for Beginners: Wait, What Do You Mean by “Graph”?
By Jocelyn Hoppa
December 16, 2019 8 mins read
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.
Explore: chart • Connected Data • data model • graph • graph data model • graph database • graph technology • Graph Theory • network • relational database
The network is a graph poised to help telecoms
May 17, 2019
Explore: graph • telecom • telecom industry • telecommunications
Neoj4 Expands Startup Access to Graph Database
March 26, 2019
Explore: graph • neo4j • Neo4j Startup Program • startup
Graph Databases Helping Banking with Digital Transformation
July 5, 2017
Explore: Connected Data • graph
Getting Started with the Microsoft Concept Graph in Neo4j
By Bryce Merkl Sasaki
March 8, 2017 5 mins read
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.
Explore: concept graph • concepts • cypher • graph • Microsoft • neo4j • Neo4j Browser • Recommendation Engine • Search Engine • taxonomies
Why We Just Raised a $36M Series D – and What’s Next for the Graph Space
By Bryce Merkl Sasaki
November 10, 2016 7 mins read
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 →
Explore: connected enterprise • data model • DB Engines • graph • graph database • graph technology • graphconnect • Neo4j 3.1 • nosql • open source
Graphs Are Feeding the World
By Bryce Merkl Sasaki
October 19, 2016 15 mins read
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 →
Explore: ancestry data • apache spark • genomic data • genotype data • graph • graphconnect • HBase • Kafka • monsanto • Oracle
How Graphs Deliver our Strategic Vision at Packt Publishing
By Bryce Merkl Sasaki
June 9, 2016 13 mins read
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 →
Explore: automated metadata generation • graph • graph visualization • graphconnect • ontology • Packt Publishing • personalized recommendations • Spreading Activation • stack overflow • tf-idf algorithm