How Apna Built a Better Job Search Experience With Graph Database
By Enzo
April 27, 2023 3 mins read
Discover how Apna uses Neo4j Graph Database to offer a more personalized and efficient job search experience for India’s emerging workforce.
Keywords: Analytics • apna • data modeling • graph database • India • job search • neo4j • network • performance • Recommendations
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
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
1 Year Anniversary: Webinars, Demos, Connections – Oh My!
By Enzo
June 8, 2022 5 mins read
Watch the coolest webinars from the last few months, from Graphs4Good to live demos of fraud detection and machine learning.
Keywords: AuraDB • Bloom • cloud • connections • demos • features • fraud detection • graph data science • graph database • intelligent applications
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
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
11 Awesome Neo4j Blogs from 2020
By Jocelyn Hoppa
December 29, 2020 6 mins read
Check out 11 awesome Neo4j blogs from 2020 on topics ranging from FinCEN files and COVID-19 graphs to knowledge graphs and AI.
Keywords: ai • contact tracing • covid-19 • FinCEN • fraud detection • graph data models • graph feature engineering • knowledge graphs • ML • neo4j course
#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
How the Global Tech Community Is Coming Together for NODES 2020
By Jocelyn Hoppa
September 30, 2020 4 mins read
Check out with our community partners are excited to see at NODES 2020, a Neo4j developer-oriented conference on October 20, 2020.
Keywords: community partners • data science • Developer • Neo4j Community • nodes 2020
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
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
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
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
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
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
How Previa Is Reimagining Healthcare
By Corin Gainey
April 29, 2020 21 mins read
Editor’s Note: This presentation was given by Alessandro Svensson and Sarah Johnnesson at GraphConnect New York in September 2018. Presentation Summary Alessandro Svensson is the Head of Neo4j Innovation Labs within the U.S. He and Sarah Johnnesson of Previa discuss… Read more →
Keywords: ai • artificial intelligence • Big Data • Connected Data • cypher • data model • Data Visualization • graphconnect • machine learning • neo4j
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