AI & Graph Technology: How Graphs Accelerate Machine Learning
By David Penick
August 12, 2019 3 mins read
Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.
Keywords: ai • AI / Machine Learning • Connected Data • data science • graph accelerated machine learning • graph technology • Knowledge Graph • knowledge graphs • machine learning algorithms
Ready for Testing: Neo4j Enterprise Edition 4.0 Milestone Release 2
By Jocelyn Hoppa
August 8, 2019 6 mins read
Learn more about our announcement of Neo4j Enterprise Edition 4.0 Milestone Release 2, which is now ready for testing by the Neo4j community.
Keywords: Causal Clustering • multiple databases • Neo4j 4.0 • Neo4j Community • Neo4j Desktop • Neo4j Enterprise Edition • reactive drivers • Reactive Streams • spring boot • user management
Toward AI Standards: Context Makes AI More Reliable and Trustworthy
By Jocelyn Hoppa
July 22, 2019 7 mins read
Discover why native graph technology is the key to making artificial intelligence and machine learning more reliable and trustworthy.
Keywords: AI solutions • AI standards • contextual information • corporate fraud • data lineage • GDPR • graph technology • Knowledge Graph • machine learning • native graph
#GraphCast: The Jim Webber Show
By Bryce Merkl Sasaki
June 7, 2019 < 1 min read
Check out this week’s #GraphCast, featuring the Jim Webber Show: a video series on engineering insights (and Britishy humor) from Neo4j’s chief scientist.
Keywords: Graph Databases • graph technology • GraphCast • Jim Webber • native graph database • neo4j • Scalability
NODES 2019: Launching the Neo4j Online Developer Expo & Summit!
By Bryce Merkl Sasaki
June 5, 2019 3 mins read
Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.
Keywords: ai • APOC • cypher • GRANDstack • graph algorithms • graphHack • machine learning • Neo4j Community • nodes • Recommendation Engines
Graph Technology to Fight Terrorist Threats
By Jocelyn Hoppa
May 15, 2019 10 mins read
Discover how the American Enterprise Institute uses Neo4j and Linkurious to find hidden complex data relationships to uncover terrorist threats.
Keywords: Critical Threats Project • geospatial analysis • graph analysis • graph intelligence platform • graph visualization • graphconnect • real-time network visualization • terrorist threat • threat detection
Enterprise Graphs: 5-Minute Interview
with Dan Woods
By Jocelyn Hoppa
March 29, 2019 6 mins read
“People are now moving from a project-based approach to adopting graphs to graphs as a platform for their technology,” said Dan Woods, Principal Analyst at Early Adopter Research and Founder and CEO of Evolved Media. Enterprises face challenges in adopting… Read more →
Keywords: 5-minute interview • Dan Woods • enterprise graph • etl • Google Kubernetes Enterprise • graph technology • Knowledge Graph • microservices • OLAP • OLTP
Mobile Experiences at Scale: 5-Minute Interview with James Gray
By Jocelyn Hoppa
March 1, 2019 3 mins read
“Literally within minutes or seconds, customers generate mobile device audiences at scale,” said James Gray, Director of Product for Big Data at Phunware. Phunware’s mobile applications platform allows some of the biggest brands in the world to deliver great mobile… Read more →
Keywords: 5-minute interview • Big Data • geolocation data • graph database • Knowledge Graph • Mobile Applications • mobile experiences • mobile targeting • neo4j • Phunware
Large-Scale Real-Time Recommendations with Neo4j
By Jocelyn Hoppa
January 30, 2019 8 mins read
Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →
Keywords: cypher • dynamic queue • engagement platform • event recommendations • graphconnect • MySQL • native graph database • real-time recommendations • relational database
Harnessing the Power of Neo4j for Overhauling Legacy Systems at Adobe
By Jocelyn Hoppa
January 23, 2019 2 mins read
Editor’s Note: This presentation was given by David Fox at GraphConnect New York in September, 2018. Presentation Summary Adobe’s Behance, a platform that allows people to showcase and discover creative work in a social media-type setting, was relying on a… Read more →
Keywords: activity feed • Adobe • Adobe Creative Cloud • Behance • Cassandra • Causal Clustering • dark launch • graphconnect • Legacy Systems • social feed
Graph Databases for Beginners: Other Graph Technologies
By Bryce Merkl Sasaki
December 11, 2018 8 mins read
Back in the day (when Prussia was still a thing), Königsberg must have been a really boring place. That’s because the definition of fun in Königsberg was to walk around the city’s seven bridges and find a path that only… Read more →
Keywords: data model • graph database • graph technology • hypergraph • native graph database • nosql • nosql database • property graph • RDF • Triple Store
Neo4j Graph Database 3.5: Everything You Need to Know [GA Release]
By Bryce Merkl Sasaki
November 29, 2018 5 mins read
Speaking on behalf of the Neo4j team, I’m pleased to announce the immediate general availability of Neo4j Graph Database version 3.5 – in both Community and Enterprise Editions. Neo4j 3.5 improves the performance, utilization and security of the Neo4j Graph… Read more →
Keywords: cypher • DevOps • full-text indexing • full-text search • Go programming language • graph database • native graph database • neo4j • Neo4j 3.5 • TLS
Graph Databases for Beginners: A (Brief) Tour of Aggregate Stores
By Bryce Merkl Sasaki
November 27, 2018 9 mins read
In 1841, William Buckland was one of the first paleontologists to observe what today we call the Cambrian explosion. At the time, he naturally knew that it would become a favorite metaphor used the world over to describe whenever we… Read more →
Keywords: aggregate store • apache cassandra • document database • document store • key value store • MongoDB • nosql • nosql database • Redis • wide-column store
Fraud Detection Using Graph Technology
By Jocelyn Hoppa
November 16, 2018 4 mins read
Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →
Keywords: Connected Data • data analysis • data modeling • fraud detection • graph algorithms • graph database • graph technology • machine learning • money laundering • social media networks
Graph Databases for Beginners: Why We Need NoSQL Databases
By Bryce Merkl Sasaki
October 25, 2018 7 mins read
NoSQL databases are one of those things in life that are unhelpfully defined only by what they are not rather than by what they are, i.e., an anti-definition. NoSQL is a cheeky acronym for Not Only SQL – or more… Read more →
Keywords: aggregate store • data model • data valence • data variety • data velocity • data volume • nosql • nosql database • relational database • sql
Which GraphConnect Training Should You Take? [Quiz]
By Bryce Merkl Sasaki
August 17, 2018 3 mins read
It’s that time of year again. In less than five weeks, Emil will be getting on stage at GraphConnect 2018 in the heart to Times Square, NYC and announcing the new release of….wow, I think we’re getting a little ahead… Read more →
Keywords: cypher • data science • Data Visualization • graph algorithms • graphconnect • machine learning • natural language understanding • Neo4j Bloom • neo4j training • python
Casinos on Graphs: 5-Minute Interview with
Joe Stefaniak, CEO of IntelligentTag
By Jocelyn Hoppa
July 27, 2018 5 mins read
“Especially when it comes to the financial sector or gaming, people need answers in real time,” said Joe Stefaniak, CEO of IntelligentTag. From slots and games to guest services to financial systems, casinos are chock full of data sources. Whether… Read more →
Keywords: 5-minute interview • ai • APOC • Connected Data • data governance • gaming industry • Graph Algorithm • graph database • machine learning • rdbms
Telia Zone: Scaling Neo4j to Millions of Homes with Kubernetes
By Jocelyn Hoppa
July 25, 2018 15 mins read
Editor’s Note: This presentation was given by Rickard Damm and Lars Ericsson at GraphConnect Europe in May 2017. Presentation Summary Telia Zone is the Telia company’s router, which is used in approximately one million homes in Sweden. Telia uses Neo4j… Read more →
Keywords: ADSL • APIs • Causal Clustering • connected home • data model • graphconnect • Kubernetes • smart phone home platform • telecommunications • Telia Zone
Graphs at Scale: Scale Out Neo4j Using Apache Mesos and DC/OS
By Jocelyn Hoppa
July 3, 2018 10 mins read
Editor’s Note: This presentation was given by Johannes Unterstein at GraphConnect Europe in May 2017. Presentation Summary In this talk, Johannes Unterstein walks you through the mechanics and advantages of using Apache Mesos and DC/OS (data center operating system) for… Read more →
Keywords: Apache Mesos • Causal Clustering • Container orchestration • cypher • DC/OS • graphconnect • machine learning • Mesosphere • microservices • twitter
Connecting the Tech Stack: 5-Minute Interview with Tim Ward, CEO at CluedIn
By Jocelyn Hoppa
June 29, 2018 6 mins read
“Connected data is always more interesting than disconnected data, especially when you’re wanting to do something like we do,” said Tim Ward, CEO at CluedIn. For Tim, it’s all about flexibility, scalability and resilience. As the CEO (and an engineer)… Read more →
Keywords: 5-minute interview • Connected Data • Graph Databases • graph model • graph technology • graphconnect • machine learning • nosql • polyglot persistence • technology stack
Connecting the Dots in Early Drug Discovery at Novartis
By Jocelyn Hoppa
June 20, 2018 20 mins read
Editor’s Note: This presentation was given by Stephan Reiling at GraphConnect San Francisco in October 2016. Presentation Summary In this talk, Senior Scientist Stephan Reiling describes some of the ways that a major pharmaceutical company conducts the search for medical… Read more →
Keywords: association rule mining • Big Data • biological knowledge • biomedical research • drug discovery • graph technology • graphconnect • heterogeneous data • Novartis • PubMed
Are You the GraphConnect 2018 Presenter We’ve Been Looking for? [CFP Is Now Open!]
By Bryce Merkl Sasaki
June 1, 2018 3 mins read
Bad news droids: You’re not the presenters we’re looking for. However, we’ll need some help finding the perfect presenters for GraphConnect 2018. That’s why the Call for Papers (CFP) is now open! Wait, What’s GraphConnect? Connected data isn’t just powering… Read more →
Keywords: API integration • artificial intelligence • call for papers • CFP • Connected Data • digital transformation • graphconnect • GraphQL • machine learning • polyglot persistence
Neo4j 3.4 Release Highlights in Less Than 8 Minutes [Video]
By Bryce Merkl Sasaki
May 21, 2018 5 mins read
Hi everyone, My name is Ryan Boyd, and I’m on the Developer Relations team here at Neo4j. I want to talk with you today about our latest release Neo4j 3.4. Overview In Neo4j 3.4 we’ve made improvements across the entire… Read more →
Keywords: ACID • bolt • cache warming • cypher • database security • graph database • multi-tenant application • Neo4j 3.4 • Neo4j sandbox • spatial data
Neo4j Graph Database 3.4 GA Release: Everything You Need to Know
By Bryce Merkl Sasaki
May 17, 2018 8 mins read
Author’s note: What a hectic week in the world of Neo4j! In addition to finalizing the delivery of Neo4j 3.4, we simultaneously built the GQL Manifesto, a call to support a common, unified Graph Query Language. Thank you to the… Read more →
Keywords: cache warming • Cartesian coordinates • cypher • database security • DevOps • graph database • hot backups • native graph database • neo4j • Neo4j 3.4
Neo4j: A Reasonable RDF Graph Database & Reasoning Engine [Community Post]
By Bryce Merkl Sasaki
February 27, 2018 7 mins read
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] It is widely known that Neo4j is able to load and write RDF. Until now, RDF… Read more →
Keywords: Graph Analytics • labeled property graph • owl • OWL 2 RL • RDF • RDF Schema • reasoning engine • resource description framework • sparql • Triple Store