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
DXC Career Navigator: Data Driven Employee Career Development and Engagement
By Enzo
October 11, 2022 8 mins read
Discover how the DXC Career Navigator uses knowledge graphs to connect siloed employee data and generates intelligent career recommendations.
Keywords: Analytics • Career • career development • DXC • dxc career navigator • DXC Technology • employee data • Graph Databases • Knowledge Graph • neo4j
How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
By Angela Zimmerman
May 16, 2022 18 mins read
Are you familiar with knowledge graphs? What about graph technology in general? If you’re in the retail business, this presentation could be a game-changer.
Keywords: Business Advice • data • data supply chain • eBay • graph database • graph technology • Knowledge Graph • Meredith Corp. • Retail • retail competitive advantage
Stefan Wendin With Stratazon’s Justo Boero Delbanco and Henrik Johansson
By Angela Zimmerman
April 8, 2022 17 mins read
If you want to learn from experts in the graph space, you’ve come to the right place. The head of Neo4j’s Innovation Lab, Stefan Wendin, sat down with two executives at Stratazon, a Malmo-based international trade and development company that uses graph technology to develop valuable tactics for their clients.
Keywords: customer experience • customer journey • data insights • data-driven decision making • graph platform • graph technology • Interview • real-time analysis • real-time data analytics • Stratazon
Graph Embeddings: AI That Learns from Your Data to Solve Problems
By Enzo
March 4, 2022 11 mins read
Graph embeddings learn the structure of your connected data, revealing new ways to solve your pressing problems.
Keywords: ai • artificial intelligence • embeddings • GDS • graph data science • graph database • graph embeddings • machine learning • math • ML
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
5-Minute Interview: Graph Databases For Dummies with Dr. Jim Webber and Rik Van Bruggen
By Jocelyn Hoppa
October 15, 2020 5 mins read
Recently we sat down with the authors of Graph Databases For Dummies, Neo4j Special Edition, Dr. Jim Webber and Rik Van Bruggen. Dr. Webber is Neo4j’s Chief Scientist and Mr. Van Bruggen leads the Neo4j sales team in Europe, and… Read more →
Keywords: graph database • graph databases for dummies • learning neo4j • Neo4j Community
Top 10 Speakers to Look Out for at NODES 2020
By Enzo
October 8, 2020 6 mins read
Check out the top 10 speakers, including graph experts from NASA, Google and Neo4j, presenting at Neo4j Online Developer Expo and Summit.
Keywords: Graph Databases • graph developer • Neo4j developer • nodes 2020 • online event
Introducing Graph Databases For Dummies
By Jocelyn Hoppa
September 16, 2020 7 mins read
Check out some main highlights from Chapter 1 of the newly release Graph Databases For Dummies, Neo4j Special Edition.
Keywords: data models • graph database basics • Graph Database for Dummies • labeled property graphs • queries at scale
Neo4j Bloom Tips and Tricks for Domain Knowledge Experts
By Enzo
July 29, 2020 9 mins read
Master graph data visualization in Neo4j Bloom from choosing a data model, fitting it to domain and exploring six generic patterns without needing to code.
Keywords: Bloom tips • data modeling • domain expert • graph data model • graph data visualization • graph visualization • Neo4j Bloom
Getting Started with Neo4j Fabric
By Jocelyn Hoppa
July 2, 2020 7 mins read
Learn everything you need to know to get started with Neo4j Fabric, a new 4.0 feature allowing you to store and retrieve data in multiple databases.
Keywords: cypher • data federation • data sharding • fine-grained access control • multiple dbms • Neo4j 4.0 • Neo4j Desktop • Neo4j Fabric • querying multiple databases • running correlated subqueries
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
This Week in Neo4j – Building a low-code platform, Beer Recommendations, Building A GRANDstack Real Estate Search App
By Mark Needham
June 20, 2020 4 mins read
Check out this week in Neo4j: building a low-code platform, real-time recommendation engines for beer and building a GRANDstack real estate search app.
Keywords: beer graph • collaborative filtering • Dr. Alexander Jarasch • low-code • node2vec • Recommendation Engine • twin4j
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: 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
GraphConnect 2020 Agenda: Everything You Need to Know
By Rachel Howard
March 6, 2020 < 1 min read
The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →
Keywords: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
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