Neo4j Under the Hood: Application-Database Model Mismatch
By Enzo
April 22, 2022 < 1 min read
In the second episode of Neo4j Under the Hood, we break down the concept of data model and delve into the features of graph data model.
Explore: app • App development • application • data model • database • DBMS • graph data model • graph database • mismatch • model
Fraud Detection: Finding the Needle in a Haystack with Knowledge Graphs
By Enzo
April 19, 2022 9 mins read
Find out how Neo4j and cloud technology helps detect and identify repeat offenders who bring counterfeit items into Africa regularly.
Explore: ai • AuraDB • cloud • data model • deep learning cafe • document databases • fraud detection • GCP • Google Cloud • Graph Databases
This Week in Neo4j – API Summit, GraphQL, Modeling, Nextjs, Image Recognition, KarateClub, Migration
By Elaine Rosenberg
July 31, 2021 5 mins read
Hello, everyone! I hope you are having a great summer and can take some time to refresh yourselves. In spite of the summer hiatus, many folks have been busy doing Neo4j-related work! This week, we highlight Rajesh Gaddipati and Vishal… Read more →
Explore: API • Aura • conference data • data model • data science • graph embedding • GraphAware • GraphQL • Hume • image recognition
Top 10 Use Cases: Identity and Access Management
By Jim Webber
March 15, 2021 4 mins read
Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements. But how do companies today… Read more →
Explore: access control • access data • access management • access permissions • data model • graph database • iam • identity management • relational database • use case
Top 10 Use Cases: Master Data Management
By Bryce Merkl Sasaki
March 1, 2021 2 mins read
Discover how to tap into the power of graph databases to organize and manage your master data with a flexible and schema-free database model.
Explore: business applications • customer data • data model • Graph Databases • master data • Master Data Management • MDM • mdm system • relational database • use case
Exploring Graphs with BearingPoint: The 5-Minute Interview
By Julia Astashkina
January 29, 2021 4 mins read
Check out this Partner Program interview with the team from BearingPoint, who discuss their use of graph technology.
Explore: 5-minute interview • business consultancy • data model • graph technology • Knowledge Graph
Neosemantics: A Linked Data Toolkit for Neo4j
By Corin Gainey
September 2, 2020 3 mins read
Discover the endless possibilities of the NSMNTX plugin on RDF data, linked data and more with Neo4j Engineering Director Jesús Barrasa.
Explore: data model • Knowledge Graph • Neosemantics • NODES 2019 • NSMNTX • RDF Database
Designing the Enterprise: HR Applications at Scale
By Corin Gainey
July 22, 2020 19 mins read
Read up on this GraphConnect talk to discover how EY employed a Neo4j graph database to design their enterprise HR application at scale.
Explore: Big Data • Connected Data • data model • Data Visualization • graphconnect • HR application • human resources • organization design • organization mapping
Your World Seen Through Your Eyes with Neo4j Bloom
By Corin Gainey
June 17, 2020 25 mins read
Andreas Kolleger discusses Neo4j Bloom and the possibilities it opens up for enterprise organizations across their departments.
Explore: artificial intelligence • Big Data • Connected Data • data model • Data Visualization • graphconnect • Knowledge Graph • machine learning • neo4j • rdbms
Mind-Blowing Knowledge Graphs: 5-Minute Interview with Mayank Gupta, SVP of Data, LPL Financial
By David Penick
June 12, 2020 2 mins read
Read this week’s 5-minute interview with Mayank Gupta of LPL financial about how his company uses Neo4j’s graph technology.
Explore: 5-minute interview • blog • data lineage • data model • data quality • Graph Theory • Knowledge Graph • relational database
Unlimited Possibilities: 5-Minute Interview with David Mohr
By David Penick
May 29, 2020 3 mins read
In this week’s five-minute interview with David Mohr (conducted at GraphTour NYC 2019), we discuss how Neo4j helps new users learn graph technology.
Explore: 5-minute interview • blog • consul • data model • Data Visualization • graph database • graph technology • graph visualization • GraphTour • Neo4j Bloom
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 →
Explore: ai • artificial intelligence • Big Data • Connected Data • cypher • data model • Data Visualization • graphconnect • machine learning • neo4j
Why Leading Telecoms Use Neo4j: The 5-Minute Interview with Jesús Barrasa, Global Director of Telecoms at Neo4j
By David Penick
March 20, 2020 5 mins read
In this week’s five-minute interview with Jesús Barrasa (conducted at GraphTour NYC 2019), we discuss how graph technology helps the telecoms world.
Explore: 5-minute interview • blog • data integration • data model • graph database • Internet of Things • IoT • neo4j • RDF • telecom
Machine Learning Algorithms
By Corin Gainey
March 18, 2020 11 mins read
Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.
Explore: artificial intelligence • Connected Data • data model • Data Visualization • Graph Analytics • graph database • graph visualization • graphconnect • machine learning • neo4j
Leveraging Graphs for GDPR at Convergys
By Corin Gainey
March 4, 2020 15 mins read
Lloyd Byrd discusses how the addition of graph technology helped Convergys solve more than just their issues around the latest EU GDPR directive.
Explore: Big Data • Connected Data • data model • Data Visualization • graph database • Graph Theory • graph visualization • graphconnect • neo4j • relational database
Sharding the LDBC Social Network
By Jocelyn Hoppa
February 24, 2020 8 mins read
Explore the use of Fabric to achieve horizontal scaling, i.e. sharding, of the well-known and challenging LDBC Social Network Benchmark graph.
Explore: cypher • data model • graph database • Horizontal scaling • LDBC social network • Neo4j 4.0 • Neo4j Fabric • sharding
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.
Explore: 5-minute interview • ai • data model • graph algorithms • graph database • GraphAware • java • Knowledge Graph • machine learning • Neo4j Community
Part 1: Using Neo4j in Business Process Modeling Scenarios
By Jocelyn Hoppa
February 13, 2020 7 mins read
When people think about Neo4j and problems it’s good at solving, there’s a pretty wide range of use cases that come to mind: recommendation engines, fraud ring detection, bills of materials, social network scenarios, multi-level marketing systems, asset management and… Read more →
Explore: APOC • business process management • Business Process Model • business process modeling • data model • neo4j • rdbms • role-based access control
Creating Aha Moments for Developers: The 5-Minute Interview with Jennifer Reif, Developer Relations Engineer at Neo4j
By David Penick
January 17, 2020 5 mins read
In this week’s five-minute interview (conducted at GraphTour DC 2019), we discuss the many projects Neo4j ‘s Jennifer Reif works with each week.
Explore: 5-minute interview • choosing neo4j • data model • graph technology • Jennifer Reif • Neo4j Community • neo4j cypher • spring data neo4j
Graph Databases for Beginners: Wait, What Do You Mean by “Graph”?
By Jocelyn Hoppa
December 16, 2019 8 mins read
Learn the difference between a graph and a chart, including the basics of nodes and relationships as well as graph theory and its application to databases.
Explore: chart • Connected Data • data model • graph • graph data model • graph database • graph technology • Graph Theory • network • relational database
Demographics Master Data at Citigroup
By Corin Gainey
December 12, 2019 22 mins read
Walter Trotta explains how graphs help him and Citibank dive deeply into demographics master data and what they get from this information.
Explore: Connected Data • cypher • data challenges • data domain • data governance • data model • graph database • Graph Databases • graphconnect • Knowledge Graph
Super (Data) Model: Graphing “RuPaul’s Drag Race”
By Jocelyn Hoppa
October 24, 2019 7 mins read
It’s that time of year, y’all… “RuPaul’s Drag Race” is back! At least in the UK… and, at least, that’s what I’ve been told. I’m a newcomer to the “Drag Race” party, you see. I’ve always liked RuPaul but, in… Read more →
Explore: customer journey analytics • data model • graph database • Knowledge Graph • nasa • neo4j • Retail • RuPaul's Drag Race • telecom
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.
Explore: Connected Data • data discovery • data model • Data Visualization • ETL tool • graph database • graph technology • Knowledge Graph • Lyft • machine learning
Innovate In Less Than a Week: 5-Minute Interview with Alessandro Svensson
By Deb Cameron
September 6, 2019 6 mins read
Check out this 5-minute interview with Alessandro Svensson and discover the features and benefits of Neo4j’s Innovation Lab.
Explore: 5-minute interview • Alessandro Svensson • Connected Data • data model • data science • design thinking • fast prototyping • graph database • graph modeling • graph representation
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.
Explore: centrality algorithms • community detection • cypher • data model • graph algorithms • graph database • graph model • GraphQL API • index free adjacency • Intelligent Recommendations Framework