Graph Databases for Beginners: Why Graph Technology Is the Future
By Bryce Merkl Sasaki
January 19, 2023 7 mins read
The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →
Keywords: Big Data • Connected Data • graph database • graph technology • Graph Theory • index free adjacency • native graph database • neo4j • nosql • rdbms
London’s Traffic Operations Digital Twin: The 5-Minute Interview With Andy Emmonds
By Enzo
November 4, 2022 3 mins read
Andy Emmonds explains how Transport for London uses graph databases and digital twin to build a smart decision-supporting system.
Keywords: 5-minute interview • andy emmonds • digital twin • graph database • Knowledge Graph • London • neo4j • Recommendations • TFL • traffic
GraphConnect 2022: 10 Sessions You Don’t Want to Miss
By Enzo
May 24, 2022 10 mins read
Here are 10 highly-anticipated GraphConnect 2022 presentations (among 130+ sessions) that you don’t want to miss.
Keywords: accenture • Adobe • Agenda • audience • Austin • blockchain • cybersecurity • data science • dell • Developer
Neo4j as an Embedded Database: The Key Use Cases of Graph Databases
By Enzo
February 2, 2022 7 mins read
Check out some of the popular use cases for graph databases that you could embed into your product or application.
Keywords: application • cybersecurity • embedded database • fraud detection • graph database • iam • IT ops • Master Data Management • MDM • Recommendation Engine
Top 10 Use Cases: Real-Time Recommendations
By Bryce Merkl Sasaki
January 25, 2021 2 mins read
Discover how graph databases support sophisticated real-time recommendations of highly relevant products or content.
Keywords: eBay • product recommendations • purchase history • real-time recommendations • Recommendation Engine • use case
#GraphCast: Tableau & Neo4j in Real Time
By Jocelyn Hoppa
November 20, 2020 < 1 min read
Check out this week’s #GraphCast, a quick video that explains how Tableau and Neo4j help you find the right gift.
Keywords: BI • business intelligence • connectors • data science • GraphCast • Neo4j BI Connector • real-time recommendations • tableau
GRANDstack: Graphs All the Way Down
By Allison Wu
October 28, 2020 17 mins read
Learn why GRANDstack and GraphQL have been quickly gaining adoption, and why representing data as a graph is a win when building your API.
Keywords: API • Apollo • GRANDstack • GraphQL • React
Chaos Engineering with Neo4j
By Allison Wu
September 23, 2020 9 mins read
Explore how to do chaos engineering if Neo4j is part of your application stack, and obtain foreknowledge of how to save the day when bad things happen.
Keywords: chaos engineering • failure injection testing • fraud detection • graphconnect • identity management • Master Data Management • Recommendation Engine
Building the Enterprise Knowledge Graph
By Jocelyn Hoppa
July 8, 2020 11 mins read
Learn how to build and implement an enterprise knowledge graph from the groun up using the Google Drive API and Neo4j Python.
Keywords: artificial intelligence • cypher • enterprise data • Knowledge Graph • knowledge management technology • machine learning • python
This Week in Neo4j – Flask User Auth, COVID-19: The Effect of the Seasons, GDS Graph Embeddings
By Mark Needham
July 4, 2020 4 mins read
Check out this week’s TWIN4J recap to learn about GraphQL Architect, a Neo4j graph app for building and deploying GraphQL APIs and more.
Keywords: covid-19 • flask • GRANDstack • graph data science • low-code • spring boot • twin4j
The Secret Sauce of Neo4j: Modeling and Querying Graphs
By Allison Wu
July 1, 2020 24 mins read
Learn about the secret sauce of Neo4j, and understand what graphs are all about. Delve into use cases such as recommendation engines and flight data.
Keywords: cypher • graphconnect • modeling • nosql • property graph model • Recommendation Engine • Relational Databases • secret sauce of Neo4j • sql • use cases
Graph-Powered Recommendations: Developing and Deploying Recommendations
By David Penick
June 15, 2020 < 1 min read
Read blog five in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Keywords: database deployment • development • graph powered recommendation • GraphQL API • Intelligent Recommendations Framework • real-time recommendation engine
Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science
By David Penick
June 8, 2020 2 mins read
Read blog four in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Keywords: CPG • cypher • graph algorithms • graph-powered recommendation engines • hybrid scoring • Recommendation Engine • Recommendations • recommendations framework
Graph-Powered Recommendations: A Framework for Faster Development
By David Penick
June 1, 2020 3 mins read
Read blog three in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Keywords: blog series • graph algorithms • graph database • graph powered recommendation • graph recommendation engine • Neo4j Recommendation Framework • Personalization • personalized recommendations • Recommendation Engine
Graph-Powered Recommendations: Instantly Evaluating Relationships
By David Penick
May 18, 2020 3 mins read
Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Keywords: Big Data • blog • blog series • cypher • Cypher Query • graph algorithms • graph powered recommendation • Hadoop • Intelligent Recommendations Framework • Recommendation Engine
Augmented Intelligence: 5-Minute Interview with Demian Bellumio, NEORIS
By David Penick
May 15, 2020 2 mins read
Check out this week’s 5-minute interview with Demian Bullemio of NEORIS about his experience with graphs and favorite use cases.
Keywords: 5-minute interview • AI / Machine Learning • blog • cypher • graph data science • Knowledge Graph • machine learning • Music • property graph • semantic graph
Graph-Powered Recommendations: How Smart Recommendations Drive Value
By David Penick
May 11, 2020 2 mins read
Read blog one in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Keywords: artificial intelligence • ecommerce • graph-based technologies • machine learning • personalized experience • Recommendation Engines • Recommendations • relational
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
By David Penick
May 4, 2020 5 mins read
Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Keywords: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • python
Lean Graph Data Models Drive Fast Innovation: A Fireside Chat with David Fox, Senior Software Engineer at Adobe
By David Penick
May 1, 2020 6 mins read
Check out this fireside chat with David Fox of Adobe, who discusses how Adobe’s Behance social media platform works with Neo4j.
Keywords: Adobe • Behance • Cassandra • cypher • David Fox • DevOps • fireside chat • graph data model • IT ops • neo4j
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
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
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