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
Developers.Zed: The LinkedIn for Developers in Zambia
By Angela Zimmerman
June 27, 2022 5 mins read
We had the pleasure of speaking with Kacha Mukabe, who is a grand winner of the 2021 Leonhard Euler Idea Contest for his innovative project using Neo4j graphs at Developers.Zed.
Keywords: contest • customer use case • cypher • developer community • Developers.Zed • GRANDstack • graph database • GraphQL • Interview • Leonard Euler
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
Graphs for Artificial Intelligence and Machine Learning
By Enzo
February 18, 2021 9 mins read
Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.
Keywords: ai • artificial intelligence • graph algorithms • graph data science • Graph Search • Graph Theory • intelligent applications • machine learning • ML • Recommendations
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
The Power of Graph Data Science: 5-Minute Interview with Alicia Frame
By David Penick
July 10, 2020 3 mins read
Check out this week’s 5-Minute Interview with Alicia Frame, Senior Data Scientist at Neo4j, about the Neo4j Graph Data Science Library.
Keywords: 5-minute interview • ai • artificial intelligence • data science • graph algorithms • graph data science • python
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
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
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
How Graphs Enhance Artificial Intelligence
By Jocelyn Hoppa
September 18, 2019 12 mins read
Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.
Keywords: ai • artificial intelligence • feature engineering • graph embeddings • graphconnect • knowledge graphs • machine learning • ML • native learning • neural networks
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