15 Years Loving Graphs: Big Congrats & Thanks to Our Italian Partner LARUS
By Michael Hunger
May 24, 2019 4 mins read
I just returned from Venice, where enjoyed not only the weather and food but … Had an amazing time in Venice, Italy to celebrate the 15th anniversary of our friends and partners from @AgileLARUS. Thanks a lot @inserpio for the… Read more →
Keywords: APOC • etl • Graph Analytics • Kafka • Larus • machine learning • Neo4j ETL • Neo4j Kafka integration • Neo4j Labs • Neo4j partner
Graph Technology to Fight Terrorist Threats
By Jocelyn Hoppa
May 15, 2019 10 mins read
Discover how the American Enterprise Institute uses Neo4j and Linkurious to find hidden complex data relationships to uncover terrorist threats.
Keywords: Critical Threats Project • geospatial analysis • graph analysis • graph intelligence platform • graph visualization • graphconnect • real-time network visualization • terrorist threat • threat detection
What’s Next for Graphs: Neo4j for Google Cloud
By Bryce Merkl Sasaki
April 9, 2019 4 mins read
It’s official: To a sold-out crowd at Google Cloud Next ’19 today, we’ve formally announced a new strategic partnership with Google Cloud that delivers Neo4j as a fully managed service deeply integrated with the Google Cloud Platform. Now every GCP… Read more →
Keywords: DBaaS • GCP • Google Cloud • Google Cloud Next • google cloud platform • graph algorithms • graph database • Kubernetes • Neo4j for Google Cloud • PageRank
This Week in Neo4j – Topic Extraction with Graphileon, Neo4j 3.5 FTS Deep Dive, Neo4j for Very Large Scale Systems
By Mark Needham
January 19, 2019 5 mins read
Welcome to the 3rd edition of This Week in Neo4j for 2019. We’ve got a variety of different things for you this week. Christophe Willemsen has written an excellent deep dive into the Full-Text Search feature released in Neo4j 3.5,… Read more →
Keywords: full-text search • graph algorithms • graphileon • machine learning • Marvel Universe • owl • RDF • spring data neo4j • topic extraction • twin4j
KeneteK & LARUS Announce a New Graph Partnership
By Jocelyn Hoppa
December 20, 2018 7 mins read
In 2018, it’s been estimated that 80% of financial transactions still pass through a mainframe application, and in most enterprises, a mainframe app is still the center of most data propagation. This stat alone means companies struggle to find a… Read more →
Keywords: cypher • data propagation • digital transformation • grad model • Graph Databases • KeneteK • Larus • mainframe application • master data • neo4j
The Evolution and Future of Graph Technology: Intelligent Systems
By Jocelyn Hoppa
December 14, 2018 6 mins read
The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to the latest version (and also the developments of other… Read more →
Keywords: ai • GQL • graph database • graph query language • graph technology • ML • neo4j • nlp • sql
(hackathon)-[:AT]->(stackoverflowoffices)
By Jocelyn Hoppa
December 5, 2018 7 mins read
This years GraphConnect 2018 – the gathering of graph enthusiasts in Times Square, New York City – featured a special gem for developers. The friendly guys from Stack Overflow opened their offices and invited developers and hackers to a “Hackathon”… Read more →
Keywords: cypher • graph database • graph visualization • graphconnect • hackathon • Java Script • Neo4j Community • Neo4j Desktop • ReactJS • stack overflow
How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware
By Jocelyn Hoppa
November 2, 2018 5 mins read
“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →
Keywords: 5-minute interview • data model • fraud detection • graph algorithms • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine • textual data
Graphs in Time and Space: A Visual Example
By Jocelyn Hoppa
October 31, 2018 8 mins read
Editor’s Note: This presentation was given by Dan Williams at GraphConnect Europe in May 2017. Presentation Summary Graph databases are helping to solve some of today’s most pressing challenges. From managing critical infrastructure and understanding cyber threats to detecting fraud,… Read more →
Keywords: Cambridge Intelligence • data insights • Data Visualization • graph data visualization • graph database • graph topology • graph visualization • graphconnect • Keylines
Why You Should Start Thinking About Your Organization as a Graph
By Jocelyn Hoppa
October 18, 2018 6 mins read
Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database… Read more →
Keywords: connected dataset • corporate knowledge • Graph Databases • GraphAware • Hume • issue-tracking systems • javascript • Knowledge Graph • microservices • software development
Mapping a Connected World: The Value of Geospatial Graph Visualization
By Jocelyn Hoppa
September 27, 2018 7 mins read
One of the world’s first maps featured the night sky. Surprisingly, it also featured connected data. Over 1,000 years ago, Chinese astronomers used manuscript to plot 1,300 stars, recognizing the importance of making connections between clusters to identify constellations. Their… Read more →
Keywords: cyber threats • cypher • data model • fraud detection • geospatial information • graph database • graph visualization • Keylines
ICYMI: (Mostly) Everything Important that Happened at GraphConnect 2018
By Bryce Merkl Sasaki
September 25, 2018 4 mins read
Unless you live under a graph database rock, then you know that the biggest graph technology event of the year – GraphConnect 2018 – happened last week, and it was wondrous to behold. From September 20-22, Neo4j customers, partners, celebrities,… Read more →
Keywords: artificial intelligence • Connected Data • graph database • graph platform • graph technology • graphconnect • Graphs4Good • Hilary Mason • machine learning • Neo4j 3.5
Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom
By Jocelyn Hoppa
September 19, 2018 12 mins read
Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing… Read more →
Keywords: ai • Connected Data • cypher • enterprise search engine • graph database • GraphAware Hume • Knowledge Graph • machine learning • nlp • Recommendation Engine
Custom Visualization Solutions: Getting the Most Out of Your Data
By Jocelyn Hoppa
September 18, 2018 7 mins read
Neo4j is perfect for storing and processing large amounts of connected data. For example, in web analytics, where click-paths and custom events get logged, it is easy to get that data into Neo4j. Once the data is in the graph… Read more →
Keywords: Connected Data • cypher • Data Visualization • diagram data • diagram visualization • graph database • graphconnect • neo4j • Recommendation Engines • yFiles
Fighting Money Laundering and Corruption with Graph Technology
By Jocelyn Hoppa
September 13, 2018 5 mins read
The shocking revelations of the International Consortium of Investigative Journalists (ICIJ), who released both the Panama and Paradise Papers, as well as the West Africa Leaks, have shown that aggressive tax avoidance and money laundering are a widespread and worldwide… Read more →
Keywords: aml compliance • anti-money laundering • data journalists • graph algorithms • graph technology • graphconnect • Kerberos • native graph database • risk management • Structr
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
Casinos on Graphs: 5-Minute Interview with
Joe Stefaniak, CEO of IntelligentTag
By Jocelyn Hoppa
July 27, 2018 5 mins read
“Especially when it comes to the financial sector or gaming, people need answers in real time,” said Joe Stefaniak, CEO of IntelligentTag. From slots and games to guest services to financial systems, casinos are chock full of data sources. Whether… Read more →
Keywords: 5-minute interview • ai • APOC • Connected Data • data governance • gaming industry • Graph Algorithm • graph database • machine learning • rdbms
The Next Generation of Service Assurance: Differentiating Your Solution
By Jocelyn Hoppa
July 23, 2018 6 mins read
Successful companies are embracing next-generation service assurance that leverages a comprehensive, real-time view of services and infrastructure with an eye on end-user experiences, new service creation and predictive modeling. But to compete in today’s market, communication service providers need a… Read more →
Keywords: Connected Data • data model • Data Relationships • graph database • graph platform • graph technology • Master Data Management • relational database • service assurance solutions • telecommunications
Neo4j Launches Commercial Kubernetes Application on Google Cloud Platform Marketplace
By Bryce Merkl Sasaki
July 18, 2018 2 mins read
On behalf of the Neo4j team, I am happy to announce that today we are introducing the availability of the Neo4j Graph Platform within a commercial Kubernetes application to all users of the Google Cloud Platform Marketplace. This new offering… Read more →
Keywords: Connected Data • GCP Marketplace • Google Cloud • google cloud platform • Google Cloud Platform Marketplace • Google Kubernetes Engine • graph technology • Knowledge Graph • Kubernetes • neo4j
The Neo4j JDBC Driver 3.3.1 Release Is Here [+ Examples]
By Bryce Merkl Sasaki
June 14, 2018 5 mins read
Our team at LARUS has been quite busy since the last JDBC driver release. Today, we’re happy to announce the 3.3.1 release of the Neo4j-JDBC driver. The release has been upgraded to work with recent Neo4j 3.3.x versions and Bolt… Read more →
Keywords: bolt • Causal Clustering • causal consistency • java • Java Naming and Directory Interface • jdbc • JDBC driver • JNDI • Matlab • Pentaho Kettle
Neo4j as a Critical Aspect of Human Capital Management (HCM)
By Bryce Merkl Sasaki
April 11, 2018 22 mins read
Editor’s Note: This presentation was given by Luanne Misquitta at GraphConnect Europe in May 2017. Presentation Summary In this presentation, Luanne Misquitta shares her facility for engaging with the challenges of human capital management (HCM) in contemporary organizations using graph… Read more →
Keywords: cypher • HCM • human capital management • learning management • organizational network analysis • people analytics • people management • sentiment analysis • social network • talent management analytics
Retail & Neo4j: Customer Experience Personalization
By Bryce Merkl Sasaki
January 8, 2018 5 mins read
To remain viable, today’s retailers must be nimble enough to face their colossal online competition while also addressing another new reality of retail: The customer is now at the center of the value chain. In order to adapt to these… Read more →
Keywords: Connected Data • customer experience • customer experience personalization • graph analysis • graph database • graph technology • neo4j • path analytics • Recommendation Engine • Retail
Neo4j: The Power behind the Paradise Papers
By Bryce Merkl Sasaki
November 10, 2017 4 mins read
Once again, the International Consortium of Investigative Journalists (ICIJ) has shaken the world with a far-reaching, in-depth investigation into the shadowy world of offshore finance: The Paradise Papers. Using Neo4j, the ICIJ has built upon their Pulitzer Prize-winning investigation of… Read more →
Keywords: Connected Data • Graph Databases • graph technology • graph visualization • icij • international consortium of investigative journalists • neo4j • Panama Papers • paradise papers • Pulitzer Prize
Going Meta: Exploring the Neo4j Graph Database…as a Graph
By Bryce Merkl Sasaki
November 7, 2017 6 mins read
The graph data model is inherently visual. Try explaining a graph to someone new. You’ll inevitably draw a picture, or wave your hands around to convey what you mean by ‘nodes… links…. and more nodes’. People think in graphs, and… Read more →
Keywords: Angular • cypher • GitHub API • graph data model • graph database • graph visualization • GraphQL • Keylines • Neo4j Browser • social network analysis