Collaborative Technology Intelligence Platform
By Jocelyn Hoppa
June 26, 2019 11 mins read
Discover how DuPont uses Neo4j to solve global challenges and share information with its diverse group of end users including scientists and engineers.
Keywords: DuPont • graph database • graph traversal • graphconnect • knowledge management system • native graph database • neo4j • Neo4j for the Enterprise • sql • technology intelligence
Accelerating Digital Transformation at CA Technologies with Neo4j
By Jocelyn Hoppa
June 19, 2019 10 mins read
Discover how CA Technologies used Neo4j to share enriched data between their sales, development and IT teams to create a company-wise database.
Keywords: ApacheSpark • cloud • Databanks • digital transformation • graph database • graphconnect • Knowledge Graph • Neo4j for the Enterprise • sql • STAR
Graphs in Government: A NASA Knowledge Graph
By Jocelyn Hoppa
June 3, 2019 4 mins read
Learn how NASA uses Neo4j to close the data gaps between departments and individual groups to capture a large amount of project data.
Keywords: government • graph database • graph technology • Knowledge Graph • Lessons Learned Database • Mission to Mars • nasa • neo4j
Graphs and RegTech: 5-Minute Interview with Julian Schibberges
By Jocelyn Hoppa
May 31, 2019 3 mins read
Check out this 5-minute interview with Julian Schibberges, Managing Director of the Bernstein Group on why graph databases are the future of RegTech.
Keywords: 5-minute interview • compliance • graph database • Julian Schibberges • Kerberos • neo4j • RegTech
Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
By Jocelyn Hoppa
April 15, 2019 3 mins read
Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.
Keywords: Connected Data • data scientists • developers • graph algorithms • Graph Analytics • intelligent solutions • machine learning • neo4j • oreilly • predictive analytics
Graph Algorithms in Neo4j: Triangle Count & Clustering Coefficient
By Jocelyn Hoppa
March 25, 2019 4 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Keywords: Clustering Coefficient • community detection algorithms • cypher • global clustering • graph algorithms • Graph Analytics • intelligent solutions • local clustering • Louvain Modularity • Triangle Count
Graph Algorithms in Neo4j: Louvain Modularity
By Jocelyn Hoppa
March 18, 2019 5 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Keywords: community detection algorithms • cypher • detecting communities • fraud analytics • graph algorithms • Graph Analytics • intelligent solutions • Louvain Modularity • neo4j • Social Networks
Graph Algorithms in Neo4j: Weakly Connected Components
By Jocelyn Hoppa
February 25, 2019 4 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Keywords: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • intelligent solutions • Master Data Management • union-find • Weakly Connected Components
Graph Algorithms in Neo4j: Strongly Connected Components
By Jocelyn Hoppa
February 18, 2019 4 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Keywords: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • Graph Databases • intelligent solutions • Strongly Connected Components
The Fabric of DevOps: Using Neo4j to Manage Site Infrastructure
By Jocelyn Hoppa
February 13, 2019 5 mins read
Editor’s Note: This presentation was given by Ashley Sun at GraphConnect NYC in October 2017. Presentation Summary LendingClub runs 400+ microservices that comprise its online marketplace lending platform, the largest in America. Every one of these services has been developed,… Read more →
Keywords: AWS • deployment automation • DevOps • graph visualization • graphconnect • infrastructure mapping • LendingClub • Mercator • microservices • neo4j
Graph Algorithms in Neo4j: Closeness Centrality
By Jocelyn Hoppa
February 11, 2019 5 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Keywords: centrality algorithms • closeness centrality • cypher • graph algorithms • Graph Analytics • graph database • Graph Search • intelligent solutions • neo4j • shortest paths
Get Control of Today’s Financial Regulations Using the Neo4j Risk Management Platform [Infographic]
By Jocelyn Hoppa
January 31, 2019 2 mins read
Financial regulations in the U.S. has become a complicated and fragmented system, but why? Various authorities creating compliance laws include a cast of six federal regulating agencies: The Federal Reserve, Office of the Comptroller of the Currency, the National Credit… Read more →
Keywords: financial regulations • Graph Analytics • graph database • graph technology • neo4j • risk compliance • risk management • risk management platform • risk reporting • siloed data
Mastering Highly Distributed Architecture
By Jocelyn Hoppa
January 9, 2019 14 mins read
Editor’s Note: This presentation was given by Thomas Lawrence at GraphConnect New York in October 2017. Presentation Summary Amadeus is one of the largest software companies in the world. The following post explores how the company built their YAC visualizer,… Read more →
Keywords: amadeus • data architecture • data cartography • GDPR • GDPR Compliance • graph database • graph visualization • graphconnect • Keylines • neo4j
The Top 10 Neo4j Videos of 2018
By Jocelyn Hoppa
December 28, 2018 3 mins read
Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →
Keywords: Bloom • cypher • enterprise AI • GRANDstack • Graph Databases • graph visualization • Hilary Mason • knowledge graphs • machine learning • neo4j
Evaluating Investor Performance Using Neo4j, GraphXR and ML
By Jocelyn Hoppa
December 6, 2018 7 mins read
[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →
Keywords: Data Visualization • graph database • graph filtering • graphical software • GraphXR • Kineviz • machine learning algorithm • machine learning analysis • neo4j • property graph
This Week in Neo4j – Supercharge Developer Productivity with new release of neo4j-graphql.js, Cosine similarity on GoT, New Kettle Plugins Released
By Mark Needham
October 6, 2018 5 mins read
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we learn how to supercharge developer productivity with the latest release of neo4j-graphql.js, there’s… Read more →
Keywords: cypher • Graph Databases • graphconnect • GraphQL • Kettle • Neo4j Community • Neo4j for the Enterprise • Neo4j sandbox • Pentaho Kettle • twin4j
Effective Internal Risk Models for FRTB Compliance: Modern Graph Technology Is the Answer
By Jocelyn Hoppa
October 1, 2018 5 mins read
Relational database technology can’t handle what is coming in banking and risk modeling. By the 2020s, Accenture predicts current banking business models will be swept away by a tide of ever-evolving technology and other rapidly occurring changes. The right foundation… Read more →
Keywords: bank regulations • BCBS • data connections • data lineage • data silos • financial services • frtb compliance • graph database • graph technology • risk
Meet the 2018 Graphie Award Winners
By Bryce Merkl Sasaki
September 21, 2018 5 mins read
Last night at GraphConnect 2018, we announced the 11 winners of the 2018 Neo4j Graphie Awards at the conference’s closing reception. The Graphie Awards celebrate the world’s most innovative graph technology applications, recognizing success in connected data across multiple categories… Read more →
Keywords: artificial intelligence • Connected Data • digital transformation • Graph Analytics • graph platform • graph technology • graphconnect • machine learning • medical research • PageRank
When Graph Meets Big Data: Obstacles and Opportunities for Visualization
By Jocelyn Hoppa
September 12, 2018 5 mins read
Love the buzzword or hate it, “big data” is an inescapable reality. Whether it’s for business intelligence or bioinformatics, recommendation engines or risk analysis, the volume, variety and velocity of data is only going to increase. Graph is an undeniably… Read more →
Keywords: 3D graph • Big Data • Bioinformatics • Collab Graphs • graph visualization • graphconnect • Kineviz • Neo4j for the Enterprise • Recommendation Engines • VR data visualization
Effective Internal Risk Models for FRTB Compliance: The Importance of Risk Model Approval
By Jocelyn Hoppa
September 10, 2018 5 mins read
Sweeping regulations are changing the way banks handle risk. The Fundamental Review of the Trading Book (FRTB) represents an important shift designed to provide a firm foundation for the future. While laws passed after the financial crisis offered a patchwork,… Read more →
Keywords: Basel IV • BCBS • data lineage • data silos • FRTB • graph database • internal risk model approval • internal risk models • risk compliance • risk management
Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]
By Jocelyn Hoppa
August 27, 2018 6 mins read
Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… Read more →
Keywords: Connected Data • data architecture • eBay • graph database • pricing engine • rdbms • real-time recommendations • Recommendations • sql • Walmart
11 Must-See Speakers at GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 24, 2018 2 mins read
There are a lot of great reasons to attend GraphConnect 2018, but one of the best reasons is that every year we feature a fresh, new lineup of the world’s best graph experts sharing their experiences on how graph database… Read more →
Keywords: ai • data governance • data management • Data Scientist • graphconnect • machine learning • Master Data Management • Personalization • predictive analytics • Recommendations
Which GraphConnect Training Should You Take? [Quiz]
By Bryce Merkl Sasaki
August 17, 2018 3 mins read
It’s that time of year again. In less than five weeks, Emil will be getting on stage at GraphConnect 2018 in the heart to Times Square, NYC and announcing the new release of….wow, I think we’re getting a little ahead… Read more →
Keywords: cypher • data science • Data Visualization • graph algorithms • graphconnect • machine learning • natural language understanding • Neo4j Bloom • neo4j training • python
Financial Risk Reporting: Graph Technology Is a Game Changer
By Jocelyn Hoppa
August 13, 2018 6 mins read
How do you prevent another global financial crisis like the one in 2008? The answer lies in better visibility into the deep connections in risk data. Armed with an understanding of risk data lineage, financial houses could have limited their… Read more →
Keywords: Connected Data • data lineage • data management • data model • FIBO • financial risk reporting • financial services • Graph Databases • graph technology • risk metadata
Financial Risk Reporting: Building a Risk Metadata Foundation
By Jocelyn Hoppa
August 6, 2018 4 mins read
Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →
Keywords: BCBS 239 • Connected Data • financial risk reporting • financial services • governance • Graph Databases • native graph database • nosql • relational database • risk metadata