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
The 5-Minute Interview: Kent Lovestjärna, Digital Media Manager at Hästens
By Bryce Merkl Sasaki
May 20, 2016 3 mins read
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 →
Explore: 5-minute interview • digital media • graph • Graph Databases • graphconnect • Hästens • Master Data Management • neo4j • SAP • Sweden
From Good to Graph: Choosing the Right Database
By Bryce Merkl Sasaki
May 4, 2016 13 mins read
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 →
Explore: Data Visualization • document database • graph • graph database • graphconnect • nosql database • RDF • relational database • resource description framework • XML database
Neo4j 3.0 and the Graph of the Universe
By Bryce Merkl Sasaki
April 28, 2016 4 mins read
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 →
Explore: binary protocol • bolt • cosmic web • csv data • graph • graph visualization • javascript • Load CSV • neo4j 3.0 • ngraph
Your Technical Documentation Should Be a Graph: Here’s Why
By Bryce Merkl Sasaki
April 25, 2016 5 mins read
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 →
Explore: github • graph • graphconnect • Knowledge Graph • natural language processing • nlp • software developer • stack overflow • Structr • technical documentation
A Graph-Specialized ETL: Taking Citizens into a Graph and Keeping It Up to Date
By Neo4j Community
April 14, 2016 8 mins read
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 →
Explore: Big Data • CDC • change data capture • data modeling • etl • graph • graph database • nosql database • rdbms • sql
Graphs Are Everywhere and Their Possibilities Are Endless
By Bryce Merkl Sasaki
April 13, 2016 3 mins read
Graphs are everywhere, and with the ability of a graph database to solve multiple business problems, pre-empt potential situations and – most importantly – save companies huge amounts of money in the meantime, why shouldn’t you use Neo4j? Graphs in… Read more →
Explore: Connected Data • eSynergy solutions • first-party fraud • fraud detection • graph • logistics • Master Data Management • neo4j training • synthetic identity • triadic closure
RDBMS & Graphs: Graph Basics for the Relational Developer
By Bryce Merkl Sasaki
February 20, 2016 6 mins read
We already know that relational databases aren’t always enough for handling the volume, velocity and variety of today’s data, but what’s the clear alternative? There are a lot of other database options out there – including a number of NoSQL… Read more →
Explore: data model • graph • graph database • graph processing • Graph Theory • index free adjacency • nosql • OLTP • rdbms • relational database
RDBMS & Graphs: Why Relational Databases Aren’t Always Enough
By Bryce Merkl Sasaki
February 15, 2016 6 mins read
Relational databases are powerful tools. Since the 80s, they have been the power-horse of most software applications and continue to do so today. Relational databases (RDBMS) were initially designed to codify paper forms and tabular structures, and they do that… Read more →
Explore: Connected Data • Data Relationships • graph • graph database • nosql • polyglot persistence • rdbms • relational algebra • relational database • sql