How to Explore SAP Sample Data in Neo4j – Graph for ERP Part 2
By Enzo
March 10, 2023 6 mins read
Learn how to load SAP data and analyze the relationships between these entities to gain insights and extract meaningful information.
Keywords: Analytics • applications • Aura • cloud • data exploration • data science • Enterprise • ERP • graph database • neo4j
Fight Cybercrime With Bloom: The 5-Minute Interview With Bertrand Provost
By Angela Zimmerman
February 7, 2023 2 mins read
Meet Bertrand Provost, a Senior Data Scientist at Le Groupe La Poste, a company that operates postal services, banks, insurance, and more. And as France’s biggest local commercial network with 1.3 million daily customers – and delivering 18 billion items annually (!) – it’s not difficult to see how the organization may face some data challenges. Enter graph technology.
Keywords: 5-minute interview • Bloom • Cybercrime • data science • fraud detection • Interview • Le Groupe La Poste
Using Neo4j for Spatial Visualization with Productivity App Grapho
By Enzo
November 16, 2022 6 mins read
Learn how Mod uses Neo4j for spatial visualization across storytelling, project data management, and development of productivity app, Grapho.
Keywords: AR • augmented reality • graph database • grapho • neo4j • spatial • UI • UX • virtual reality • visualization
Using Graph Technology for Environmental Data Compliance and Implementation
By Angela Zimmerman
August 15, 2022 5 mins read
Every person, company, and government is going to be affected by climate change, which is why we are already seeing increasingly demanding regulations from environmental agencies and can expect to see more at the state, national, and international levels.
Keywords: climate change • digital twin • environmental regulation • environmental sciences • graph technology • greenhouse gas emissions • regulatory compliance • sustainability
Announcing Neo4j Bloom 2.3: Supercharged With Graph Data Science
By Angela Zimmerman
June 21, 2022 2 mins read
With today’s latest release of Neo4j Bloom 2.3, we bring together the power of Graph Data Science and data visualization to AuraDS users and to anyone with Neo4j Graph Data Science Library setup on their databases.
Keywords: Bloom • graph data science • neo4j graph data science • supply chain • visualization
Simplify Your Visualization Workflow with Neo4j Bloom 1.9
By Enzo
October 25, 2021 3 mins read
Check out cool new fixes and features in the latest release of Neo4j Bloom 1.9 to give you a better graph visualization experience.
Keywords: Bloom • Data Visualization • graph visualization • neo4j • relationships
Announcing Neo4j Bloom 1.8: Now Generally Available
By Enzo
September 1, 2021 5 mins read
Discover the exciting new features in Neo4j Bloom version 1.8 including codeless search, support for date/time properties and more.
Keywords: data viz • graph visualization • neo4j • Neo4j Bloom • visualization
This Week in Neo4j – Google Cloud IAM hierarchy, Analyzing Genomes, Demystifying Graph Databases
By Mark Needham
March 20, 2021 3 mins read
Hi everyone, In this week’s video, Dr Jim Webber talks about the growing importance of Graph Data Science. Pavan Kumar Kattamuri visualises Google Cloud IAM, Papa Yaw Ofori-Afriyie gives us an intro to graph databases, and Rik Van Bruggen published… Read more →
Keywords: family tree • genome • Google Cloud • graph data science • risk mitigation • supply chain • twin4j
Extensive Representation of Contact Tracing with Neo4j in the Canton of Geneva
By Enzo
February 9, 2021 5 mins read
Learn how University of Geneva uses Neo4j’s graph visualization to do extensive representation of COVID-19 contact tracing in Switzerland.
Keywords: Coronavirus • covid-19 • Data Visualization • graph visualization • transmission chain • university of geneva
Top 10 Use Cases: Anti-Money Laundering
By Jim Webber
February 8, 2021 < 1 min read
Discover how using graph technology for anti-money laundering can help you root out fraud.
Keywords: AML engine • anti-money laundering • date modeling • fraud protection • shell companies
#GraphCast: Follow the Money, Untangling Complex Fraud Networks with Emil Eifrem
By Jocelyn Hoppa
February 5, 2021 < 1 min read
Check out this week’s #GraphCast, featuring our CEO Emil Eifrem on how graph technology was used to expose a global money-laundering scheme.
Keywords: FinCEN Files • Graph Theory • GraphCast • icij • money laundering
20 NODES 2020 Talks You May Have Missed
By Enzo
December 31, 2020 3 mins read
Check out the amazing talks from Neo4j Online Developer Expo and Summit you might have missed.
Keywords: covid-19 • cypher • drug discovery • Google Cloud • Graph Algorithm • Graph Analytics • graph data science • Graph Databases • graph-native learning • knowledge graphs
The Top 7 Neo4j Webinars of 2020
By Jessica Baumgardner
December 28, 2020 3 mins read
Check out the top Neo4j webinars from 2020, exploring key topics like human trafficking, responsible AI, graph data science and more.
Keywords: 4.0 • ai • artificial intelligence • Connected Data • connections • GDS library • graph data science • graph data science library • Graphs4Good • human trafficking
Simplifying Data Visualization: 5-Minute Interview with Varun Bhandary
By David Penick
December 4, 2020 < 1 min read
Check out this week’s 5-Minute Interview with Varun Bhandary, solutions architect at Cognizant, about his experience with Neo4j’s graph database.
Keywords: 5-minute interview • choosing neo4j • Data Visualization • getting started with neo4j • Graph Analytics • Graph Tour • GraphX
Visualizing Fraud with Neo4j and GRANDstack
By Jocelyn Hoppa
December 1, 2020 7 mins read
Learn how Neo4j and the other premium tools in GRANDstack build a graph and timeline visualization app that drives fraud investigations.
Keywords: Data Visualization • fraud detection • GRANDstack • graph data model • KronoGraph • ReGraph
The Neo4j BI Connector: How It Works
By David Penick
November 30, 2020 3 mins read
Read blog three in Neo4j’s five-part series on the BI Connector.
Keywords: Bloom • graph data platform • graph visualization • Neo4j BI Connector • ODBC • tableau
#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
#GraphCast: Pathfinding Algorithms
By Jocelyn Hoppa
November 6, 2020 < 1 min read
Check out this week’s #GraphCast, featuring pathfinding algorithms used to calculate degrees of separation and directions in map applications.
Keywords: graph data science • GraphCast • pathfinding algorithms
Find More Fraud with Graph Data Science [Infographic]
By Jessica Baumgardner
November 2, 2020 < 1 min read
Learn how graph data science enables teams financial institutions to detect even the most sophisticated fraud schemes.
Keywords: detecting fraud • financial fraud • fraud detection • GDS library • graph data science
Graphistania Podcast: Authors Discuss Graph Databases For Dummies
By Enzo
October 27, 2020 2 mins read
Rik Van Bruggen invited special guest, Dr. Jim Webber, on a Graphistania podcast session to chat about Graph Databases For Dummies, a recently published book they co-authored. Graph Databases For Dummies, Neo4j Special Edition, is the first book Rik and… Read more →
Keywords: graph database book • graph developer • graph technology • Graphistania podcast • Neo4j developer
#GraphCast: Graph Data Science Library
By Jocelyn Hoppa
October 23, 2020 < 1 min read
Check out this week’s #GraphCast, featuring Mark Needham talking about the basics and benefits of the Neo4j Graph Data Science Library.
Keywords: data science • graph algorithms • graph data science library • GraphCast
Graph Visualization Just Got Easier: Introducing Neo4j Bloom 1.4!
By Jocelyn Hoppa
October 22, 2020 3 mins read
A few weeks ago, we released Neo4j Bloom version 1.4 with new features to help you get started investigating graphs visually and providing new ways of viewing different types of graphs. We focused on these areas because, although people perform… Read more →
Keywords: graph visualization • hierarchical graph layout • Neo4j Bloom • proactive search suggestions
Announcing: Graph-Native Machine Learning in Neo4j!
By Jocelyn Hoppa
October 21, 2020 6 mins read
Check out this blog to learn more about Graph Data Science 1.4, with its exciting inclusion of graph-native ML.
Keywords: Bloom • graph algorithms • graph data science • graph embedding • graph-native machine learning • GraphSAGE • Knowledge Graph • ML predictions
Insider Guide to Graph Data Science: First, a Brief Overview
By Jocelyn Hoppa
October 12, 2020 6 mins read
Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.
Keywords: graph algorithms • Graph Analytics • graph data science • graph embeddings • graph export • in-memory graph • machine learning
Fixing Your Microservices Architecture Using Graph Analysis
By Allison Wu
October 7, 2020 13 mins read
Learn how a graph helps detect antipatterns in your microservices architecture, visualize your whole system and conduct cross-services impact analysis.
Keywords: cypher • impact analysis • jqassistant • microservices • NODES 2019