Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware
By David Penick
February 14, 2020 4 mins read
In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.
Keywords: 5-minute interview • ai • data model • graph algorithms • graph database • GraphAware • java • Knowledge Graph • machine learning • Neo4j Community
Personalized Product Recommendations at Nordstrom
By Allison Wu
February 12, 2020 9 mins read
Delve into how the Nordstrom hackathon team leveraged graph technology to create more personalized product recommendations with existing data.
Keywords: customer journey • graph technology • graphconnect • Nordstrom • property graph model • purchase data • recommendation • recommendations platform • Retail
Announcing the Neo4j GraphTour in 8+ Cities Worldwide
By Bryce Merkl Sasaki
January 29, 2020 3 mins read
Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →
Keywords: Connected Data • cypher • data integration • Graph Analytics • graph database • graph technology • graphconnect • GraphTour • neo4j • Neo4j Community
How to Make Small Talk with Your Boss About Music (With the Help of Graph-Based Recommendations)
By Jocelyn Hoppa
December 19, 2019 6 mins read
Learn how graph-based recommendations could be the key to not having an awkward elevator conversation ever with your boss.
Keywords: collaborative filtering • cypher • data analysis • digital content • graph algorithms • graph-based recommendations • graphs • music recommendations • neo4j • Recommendations
Responsible AI: The Critical Need for Context (and Practical Tips)
By Jocelyn Hoppa
November 26, 2019 9 mins read
Read the second and final installment of this blog series on responisble AI, why context is critical to achieving responsible AI, and get practical tips.
Keywords: ai and context • community detection • data lineage • data manipulation • fraud • graph algorithms • Graph Data • Graph Theory • healthcare data • machine learning
#GraphCast: “Graph Databases Will Change Your Freakin’ Life”
By Jocelyn Hoppa
November 15, 2019 < 1 min read
Catch this week’s GraphCast: Watch this entertaining presentation on graph databases and learn the reasons and ways they are life-changing for developers.
Keywords: cypher • Ed Finkler • emil eifrem • graph database • GraphCast • GraphStory • neo4j • NODES 2019
Introducing Neo4j AuraDB: A New Graph Database as a Service
By Jocelyn Hoppa
November 6, 2019 4 mins read
Discover unique features of Neo4j AuraDB, the first fully managed native graph database as a service, and why it was built to be developer friendly.
Keywords: ACID • Connected Data • cypher • database as a service • DBaaS • GRANDstack • GraphQL • intelligent applications • native graph database • Neo4j Aura
Streaming Graphs: Combining Kafka and Neo4j
By Jocelyn Hoppa
October 29, 2019 12 mins read
If you’re looking for the basics on how to turn streams into graphs with Neo4j and the Neo4j-Streams plugin, you’ve come to the right place.
Keywords: apache kafka • Confluent Cloud • cypher • financial fraud • iam • Neo4j Browser • neo4j streams • property graph model • Recommendations • social network
GraphConnect 2020: Call for Papers Closing November 15
By Jocelyn Hoppa
October 17, 2019 2 mins read
Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.
Keywords: call for papers • graph database • GraphConnect 2020 • neo4j • Neo4j Community
Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft
By Corin Gainey
September 26, 2019 6 mins read
Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.
Keywords: Connected Data • data discovery • data model • Data Visualization • ETL tool • graph database • graph technology • Knowledge Graph • Lyft • machine learning
5 Ways to Innovate and Delight Users with Real-Time Recommendations
By Jocelyn Hoppa
September 25, 2019 4 mins read
Discover five unique and effective ways to innovate with real-time recommendations by leveraging the flexibility of a Neo4j graph database.
Keywords: enterprise data • graph database • neo4j • Neo4j Recommendation Framework • real-time recommendations • recommendation systems
Creating an Intelligent Recommendation Framework
By Jocelyn Hoppa
September 5, 2019 4 mins read
Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.
Keywords: centrality algorithms • community detection • cypher • data model • graph algorithms • graph database • graph model • GraphQL API • index free adjacency • Intelligent Recommendations Framework
Blazing Fast Recommendations: 5-Minute Interview with Tim Hanssen
By Jocelyn Hoppa
August 9, 2019 3 mins read
Check out this 5-minute interview with Tim Hanssen, Founder and CTO of Mediaconnect, who uses Neo4j to build a real-time recommendation engine.
Keywords: 5-minute interview • graph database • graph technology • Joins • real-time recommendations • Recommendations • relational database • sql • Tim Hanssen
Announcing NODES 2019 Global GraphHack
By Jocelyn Hoppa
July 25, 2019 2 mins read
Leading up to our first-ever Neo4j Online Developer Expo and Summit (NODES 2019), we’re planning a worldwide virtual hackathon with our community! Neo4j community members of all experience levels are encouraged to participate. This is a great opportunity to connect… Read more →
Keywords: DevZone • Global GraphHack • graphconnect • hackathon • Neo4j Community • Neo4j Online Developer Expo and Summit • NODES 2019
The Present and Future of Artificial Intelligence and Machine Learning
By Jocelyn Hoppa
June 12, 2019 22 mins read
Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.
Keywords: ai • AI ethics • AI technology • artificial intelligence • Big Data • graphconnect • machine learning • machine learning technology • modern computing • natural language generation
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
The Seven Bridges of Königsberg: A Dog’s Eye View
By Jocelyn Hoppa
May 23, 2019 8 mins read
Follow Armstrong as he pathfinds his way through North London, with the help of graph algorithms, discovering new routes to cover more territory.
Keywords: cypher • graph algorithms • graph database • Leonhard Euler • neo4j • pathfinding • Seven Bridges of Königsberg • shortest path • temporal view
Going Underground: Graphing and Pathfinding London Tube Lines
By Jocelyn Hoppa
May 2, 2019 7 mins read
Read the latest installment of Joe Depeau’s blog series on graphing and pathfinding the London Underground, complete with Cypher queries and data models.
Keywords: geospatial query • graph algorithms • graph database • London Tube • meta-graph • neo4j • pathfinding • public transportation • weighted shortest path
Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
By Jocelyn Hoppa
April 15, 2019 3 mins read
Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.
Keywords: Connected Data • data scientists • developers • graph algorithms • Graph Analytics • intelligent solutions • machine learning • neo4j • oreilly • predictive analytics
What’s Next for Graphs: Neo4j for Google Cloud
By Bryce Merkl Sasaki
April 9, 2019 4 mins read
It’s official: To a sold-out crowd at Google Cloud Next ’19 today, we’ve formally announced a new strategic partnership with Google Cloud that delivers Neo4j as a fully managed service deeply integrated with the Google Cloud Platform. Now every GCP… Read more →
Keywords: DBaaS • GCP • Google Cloud • Google Cloud Next • google cloud platform • graph algorithms • graph database • Kubernetes • Neo4j for Google Cloud • PageRank
Keep Calm and Drink Tea: Graphing Britain’s Most Beloved Hot Beverage
By Jocelyn Hoppa
March 14, 2019 6 mins read
Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →
Keywords: data model • Graph Data • graph database • Iron Goddess of Mercy • knowledge graphs • neo4j • tea • technology solutions
Mapping Ontologies in Graphs for Personalization
By Jocelyn Hoppa
February 20, 2019 14 mins read
Editor’s Note: This presentation was given by Irene Iriarte-Carretero at GraphConnect San Francisco in October 2016. Presentation Summary Gousto is a UK-based recipe box service that uses Neo4j to map recipe ontologies so it can provide more personalized recommendations to… Read more →
Keywords: collaborative filtering • content-based filtering • customer journey • gousto • graph ontology • graphconnect • hybrid recommender system • LightFM • Personalization • Recommendation Engine
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
Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 2019 5 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Keywords: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs
By Mark Needham
January 5, 2019 4 mins read
Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →
Keywords: anti-money laundering • DeepMind • github • GraphQL • machine learning • Neo4j Community • real-time recommendations • twin4j