Connected Data Archives - Neo4j Graph Database

Meet the ICIJ’s First-Ever Neo4j Connected Data Fellow

By Bryce Merkl Sasaki | August 14, 2017

The International Consortium of Investigative Journalists (ICIJ), in partnership with the graph platform company Neo4j, are proud to welcome Manuel Villa as the first-ever Neo4j Connected Data Fellow. The fellowship, announced last May, was inspired by the way graph databases… Learn More →

Keywords: Connected Data • data journalism • graph database • graph platform • graphconnect • icij • investigative journalism • neo4j • Panama Papers • Pulitzer Prize

Machine Learning, Graphs and the Fake News Epidemic (Part 2)

By Bryce Merkl Sasaki | August 10, 2017

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Learn More →

Keywords: Connected Data • cypher • fake news • Graph Algorithm • graph database • graph technology • machine learning • pattern matching • relational model • sql

Streamlining Processes with Neo4j at Glidewell Laboratories

By Rachel Howard | August 4, 2017

Editor’s Note: This presentation was given by Galit Gontar and Robert Edwards at GraphConnect San Francisco in October 2016: Presentation Summary As a vertically integrated company, Glidewell Laboratories needs their processes and workflows to be flexible and open to innovation.… Learn More →

Keywords: AWS • Connected Data • dental laboratory • docker • glidewell laboratories • graphconnect • manufacturing process • MongoDB • polyglot persistence • workflow engine

Proudly Releasing: Efficient Graph Algorithms in Neo4j

By Bryce Merkl Sasaki | August 3, 2017

I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics… Learn More →

Keywords: betweenness centrality • breadth-first search • closeness centrality • Connected Data • cypher • DBPedia • Graph Algorithm • Graph Analytics • PageRank • user-defined procedures

Machine Learning, Graphs and the Fake News Epidemic (Part 1)

By Bryce Merkl Sasaki | August 2, 2017

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Learn More →

Keywords: ai • artificial intelligence • BuzzFeed News • Connected Data • fake news • graph database • graph technology • Knowledge Graph • machine learning • machine learning algorithms

Financial Services & Neo4j: Cybersecurity

By Bryce Merkl Sasaki | August 1, 2017

Cybersecurity is of critical importance to financial services firms. IT organizations must mitigate cybersecurity risk, both in terms of external access to the infrastructure and in understanding how a malware infection or attack can move across a particular network. These… Learn More →

Keywords: Connected Data • cybersecurity • cyberwarfare • cypher • financial services • firewall configuration • graph technology • intrusion detection • single points of failure • situational awareness

Financial Services & Neo4j: Identity & Access Management

By Bryce Merkl Sasaki | July 24, 2017

Within the IT organization of any financial services enterprise, identity and entitlements management must be managed to minimize risk. Over time, the centralized entitlements structure – whether represented in Active Directory or an LDAP directory – grows in such a… Learn More →

Keywords: access management • Active Directory • Connected Data • financial services • fraud prevention • identity and access management • identity management • Information Security • LDAP directory • permissions management

Financial Services & Neo4j: Fraud Detection

By Bryce Merkl Sasaki | June 19, 2017

Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Learn More →

Keywords: Connected Data • cypher • Data Visualization • financial services • Fortune 500 • fraud detection • fraud ring • graph technology • Microsoft SQL Server • relational database

The 5-Minute Interview: Benjamin Nussbaum, Co-Founder of GraphGrid

By Rachel Howard | June 9, 2017

“When we first started exploring Neo4j’s native graph database, we saw benefits in how the data was stored because it paralleled real-world connected data,” said Benjamin Nussbaum, Co-Founder at GraphGrid. He and his team realized that the future of data… Learn More →

Keywords: 5-minute interview • APOC • Connected Data • connected enterprise • enterprise data platform • Graph Analytics • GraphGrid • Master Data Management • native graph database • relational database

Neo4j Is Now Available on the AWS Marketplace

By Bryce Merkl Sasaki | June 8, 2017

Many Neo4j users host their databases in on-premise data centers, but there’s an increasing trend of utilizing cloud-based hosting providers. EC2 on Amazon Web Services has always been a popular choice given its success in the market, so we wanted… Learn More →

Keywords: amazon web services • AWS • aws marketplace • Azure marketplace • Causal Clustering • cloud • Connected Data • EC2 • microsoft azure • neo4j

Apply Today: The Neo4j Connected Data Fellowship at Pulitzer Prize-winning ICIJ

By Bryce Merkl Sasaki | May 12, 2017

Neo4j’s CEO, Emil Eifrem, recently blogged about a data journalism fellowship to compliment our Data Journalism Accelerator Program. Yesterday, at the GraphConnect Europe conference, Emil announced additional details on the Fellowship and invited the data journalism community to apply. Neo4j… Learn More →

Keywords: computer engineering • Connected Data • data journalism • emil eifrem • graphconnect • icij • journalism • neo4j • Panama Papers • Pulitzer Prize

Detecting Fake News with Neo4j & KeyLines

By Bryce Merkl Sasaki | May 9, 2017

Fake news is one of the more troubling trends of 2017. The term is liberally applied to discredit everything, from stories with perceived bias through to ‘alternative facts’ and downright lies. It has a warping effect on public opinion and… Learn More →

Keywords: Connected Data • cypher • Data Visualization • fake news • fraud • graph analysis • graph model • graph visualization • Keylines • social media

The Engineering Evolution of Neo4j into a Native Graph Database

By Bryce Merkl Sasaki | May 2, 2017

Hi everyone. My name is Dr. Jim Webber. I’m Neo4j’s chief scientist, and I’d like to take a few minutes to talk to you about Neo4j’s evolution from an engineering point of view. Our Origin Story: Overcoming Complicated SQL Queries… Learn More →

Keywords: Causal Clustering • Connected Data • cypher • graph api • graph query language • native graph database • nosql database • recursive JOINs • relational database • sql

Forrester Research: How Monsanto Harnesses Connected Data Using Neo4j

By Bryce Merkl Sasaki | March 28, 2017

Tomorrow’s enterprises won’t just leverage their data, but the relationships between data points in order to get and stay ahead of the competition. However, these enterprises need a database purpose-built for handling relationships – and it must work alongside existing… Learn More →

Keywords: case study • Connected Data • Data Relationships • Forrester research • graph database • monsanto • neo4j • Oracle RDBMS • rdbms • sustainable competitive advantage

The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes

By Rachel Howard | March 17, 2017

“Moving from relational to graph, it takes time to learn to step back from your data and ask, ‘What more can I do?’” said Chuck Kane, Director of Global Solutions at Pitney Bowes. The company partnered with Neo4j to provide… Learn More →

Keywords: 5-minute interview • AML • Connected Data • Data Relationships • fraud detection • graph database • neo4j • pattern analysis • Pitney Bowes • relational database

The 5-Minute Interview: Bradley Nussbaum, CEO of AtomRain

By Rachel Howard | January 13, 2017

“Data that isn’t connected just isn’t as useful,” says Bradley Nussbaum, CEO at AtomRain in Los Angeles. The world of big data is no longer just taking notice of graph database technology — they’re taking action to implement it because… Learn More →

Keywords: 5-minute interview • Big Data • Causal Clustering • connected consumer • Connected Data • connected enterprise • graph database • graph technology • neo4j • Recommendation Engine

3 Advantages of Using Neo4j Alongside Oracle RDBMS

By Bryce Merkl Sasaki | November 14, 2016

The rising popularity of graph databases is a trend that developers and data architects can no longer ignore. At the same time, well-established relational database management systems (RDBMS) like Oracle aren’t going anywhere soon. Oracle RDBMS is the backbone of… Learn More →

Keywords: Connected Data • graph database • neo4j • Oracle • Oracle RDBMS • polyglot persistence • query performance • rdbms • relational database • sql

Neo4j as a Key Player in Human Capital Management (HCM) [Community Post]

By Bryce Merkl Sasaki | July 12, 2016

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] In the Bersin Predictions for 2016 report, Josh Bersin states that “it feels as though everything… Learn More →

Keywords: Connected Data • data model • HCM • human capital management • human resources • internal social network • people analytics • retaining talent • talent and performance management • talent management

From the Neo4j Community: March 2016

By Bryce Merkl Sasaki | May 2, 2016

Whew! With GraphConnect Europe now behind us, it’s time to look at all of the wonderful content published by the Neo4j community in the month of March before the Neo4j 3.0 announcement and Panama Papers coverage eclipsed everything else. If… Learn More →

Keywords: 3D visualization • Connected Data • cypher • data validation • document database • fraud investigation • graph database • Insurance Fraud • Neo4j Community • Recommendation Engine

Graphs Are Everywhere and Their Possibilities Are Endless

By Bryce Merkl Sasaki | April 13, 2016

Graphs are everywhere, and with the ability of a graph database to solve multiple business problems, pre-empt potential situations and – most importantly – save companies huge amounts of money in the meantime, why shouldn’t you use Neo4j? Graphs in… Learn More →

Keywords: Connected Data • eSynergy solutions • first-party fraud • fraud detection • graph • logistics • Master Data Management • neo4j training • synthetic identity • triadic closure

RDBMS & Graphs: Why Relational Databases Aren’t Always Enough

By Bryce Merkl Sasaki | February 15, 2016

Relational databases are powerful tools. Since the 80s, they have been the power-horse of most software applications and continue to do so today. Relational databases (RDBMS) were initially designed to codify paper forms and tabular structures, and they do that… Learn More →

Keywords: Connected Data • Data Relationships • graph • graph database • nosql • polyglot persistence • rdbms • relational algebra • relational database • sql

Why Modern Fraud Detection Needs Graph Database Technology

By Bryce Merkl Sasaki | January 4, 2016

Banks and insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection play an important role in minimizing these losses. However increasingly sophisticated fraudsters have developed a variety of ways to elude discovery – both… Learn More →

Keywords: bank fraud • Connected Data • data analysis • e-Commerce Fraud • fraud detection • fraud prevention • fraud ring • graph database • Insurance Fraud • real-time fraud detection

The Sustainable Competitive Advantage of Connected Data

By Bryce Merkl Sasaki | November 30, 2015

As data sizes and customer expectations accelerate at lightning speed, how can your business achieve sustainable competitive advantage? By unlocking the value of data relationships – in both new and reimagined applications – your enterprise can easily improve performance, simplify… Learn More →

Keywords: Connected Data • Data Relationships • fraud detection • graph database • Internet of Things • Master Data Management • nosql • Recommendation Engine • relational database • sustainable competitive advantage

The Future of Recommendation Engines: Graph-Aided Search

By Bryce Merkl Sasaki | October 6, 2015

Editor’s Note: GraphAware is a Silver sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Michal and other sponsors in person. For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people… Learn More →

Keywords: Connected Data • elasticsearch • graph database • neo4j • open source software • real-time recommendations • Recommendation Engine • Search Engine • social network • Solr

A New Way of Looking at “Moving Relationships” in Neo4j [Community Post]

By Bryce Merkl Sasaki | September 29, 2015

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Introduction A graph database is not only a simple way to store connected data, it is… Learn More →

Keywords: combined state • community • Connected Data • cypher • Data Relationships • electricity • facility management • graph database • Graph Theory • neo4j • three-way switch

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