Connected Data Archives - Neo4j Graph Database Platform

Graph Technology Is in the POLE Position to Help Law Enforcement [Video]

By Bryce Merkl Sasaki | April 19, 2018

A great graph database use case that is starting to emerge is the use of graph technology as a way to better support the police and other law enforcement officials, which also has applications for other security and investigative use… Read more →

Keywords: Connected Data • crime data • data model • Data Visualization • government agencies • graph algorithms • graph technology • law enforcement • POLE • tableau

Graph Algorithms in Neo4j: Streamline Data Discoveries with Graph Analytics

By Bryce Merkl Sasaki | April 16, 2018

To analyze the billions of relationships in your connected data, you need efficiency and high performance, as well as powerful analytical tools that address a wide variety of graph problems. Fortunately, graph algorithms are up to the challenge. In this… Read more →

Keywords: apache spark • APOC • breadth-first search • community detection • Connected Data • depth-first search • graph algorithms • Graph Analytics • GraphX • PageRank

Graph Algorithms in Neo4j: How Connections Drive Discoveries

By Bryce Merkl Sasaki | April 9, 2018

Graph algorithms are the powerhouse behind the analysis of real-world networks — from identifying fraud rings and optimizing the location of public services to evaluating the strength of a group and predicting the spread of disease or ideas. In this… Read more →

Keywords: ACID • Connected Data • data integrity • Fraud Rings • graph algorithms • graph analysis • Graph Analytics • Graph Theory • label propagation • PageRank

GDPR Compliance: 4 Simple Steps to Building a GDPR Solution

By Bryce Merkl Sasaki | March 26, 2018

According to PwC, 92 percent of multinational companies cite compliance with the looming General Data Protection Regulation (GDPR) data privacy regulations as a top data-protection priority. More than three-quarters of those organizations have allocated over a million dollars for related… Read more →

Keywords: Connected Data • data modeling • data privacy • data privacy regulations • Data Visualization • GDPR • GDPR Compliance • graph visualization • master data • personal data

GDPR Compliance: Why Graph Technology Is the Fastest (and Most Future-Proof) Solution

By Bryce Merkl Sasaki | March 19, 2018

According to Eurostat, 81% of Europeans feel they don’t wholly control their online data and 69% worry that firms might use their data for purposes other than those advertised. The European Union’s General Data Protection Regulation (GDPR) states that individuals… Read more →

Keywords: Connected Data • data lineage • data privacy • Data Visualization • GDPR • GDPR Compliance • native graph database • nosql • personal data • rdbms

Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 2]

By Bryce Merkl Sasaki | February 22, 2018

Last week, in part one of my interview with Dr. Aaron Clauset, we reviewed how network science was evolving and how it’s dismantling preconceived notions about networks in general. Clauset also stressed the crucial role of interdisciplinary collaboration when it… Read more →

Keywords: computational biology • computational social science • Connected Data • deep learning • ICON dataset • link prediction • machine learning • Netflix Prize • Network Science • Network Visualization

Retail & Neo4j: Pricing & Revenue Management

By Bryce Merkl Sasaki | January 30, 2018

It’s never been easier for customers to comparison shop. In a matter of minutes, customers can compare prices for a specific product across a dozen stores — and all from the comfort of home. They can even compare prices and… Read more →

Keywords: Connected Data • graph technology • Marriott • neo4j • pricing engine • relational database • Retail • retail pricing • revenue management • sql

Retail & Neo4j: Supply Chain Visibility & Management

By Bryce Merkl Sasaki | January 22, 2018

Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →

Keywords: Connected Data • graph database • graph visualization • neo4j • relational database • Retail • sql • supply chain management • supply chain transparency • supply chain visibility

Retail & Neo4j: Customer Experience Personalization

By Bryce Merkl Sasaki | January 8, 2018

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

Driving Predictive Analytics with the Power of Neo4j

By Rachel Howard | January 5, 2018

Editor’s Note: This presentation was given by Blake Nelson and Deve Palakkattukudy at GraphConnect San Francisco in October 2016. Presentation Summary Agero has been the industry leader in roadside assistance for the last 40 years. Much of their business depends… Read more →

Keywords: Connected Data • GeoHash • graph technology • graphconnect • machine learning • neo4j spatial • OpenStreetMap • predictive analytics • Rtree • stored procedures

Data Profiling: A Holistic View of Data using Neo4j

By Bryce Merkl Sasaki | January 3, 2018

Summary Data profiling is a widely used methodology in the relational database world to analyse the structure, contents and metadata of a data source. Generally, data profiling consists a series of jobs executed upon the data source to collect statistics… Read more →

Keywords: APOC • Connected Data • cypher • data integration • data profiling • data quality • graph algorithms • native graph database • Neo4j Browser • triadic closure

Forrester Research: Graph Databases Vendor Landscape [Free Report]

By Bryce Merkl Sasaki | December 18, 2017

In 2015, analyst firm Forrester Research published a vendor landscape report on the state of graph databases. It included a few graph technology vendors, several graph use cases and described Neo4j as the “most popular graph database.” Since then, graph… Read more →

Keywords: Connected Data • Forrester research • Graph Databases • graph technology • java • native graph database • neo4j • python • sql • sustainable competitive advantage

Announcing the Neo4j GraphTour in 8+ Cities Worldwide

By Bryce Merkl Sasaki | December 12, 2017

This spring, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionising the modern enterprise. The GraphTour Basics This one-day local event will turn you into a graph… Read more →

Keywords: Connected Data • cypher • data integration • Graph Analytics • graph database • graph technology • graphconnect • GraphTour • neo4j • Neo4j Community

Analyzing the Paradise Papers with Neo4j: A Closer Look at Queries, Data Models & More

By Bryce Merkl Sasaki | November 13, 2017

Our friends from the ICIJ (International Consortium of Investigative Journalists) just announced the Paradise Papers this past week, a new trove of leaked documents from the law firm Appleby and trust company Asiaciti. Similar to the Panama Papers before (which… Read more →

Keywords: Connected Data • cypher • Duchy of Lancaster • graph algorithms • graph visualization • icij • neo4j • Panama Papers • paradise papers • Wilbur Ross

Neo4j: The Power behind the Paradise Papers

By Bryce Merkl Sasaki | November 10, 2017

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

Retail & Neo4j: Personalized Promotion & Product Recommendations

By Bryce Merkl Sasaki | November 6, 2017

Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Read more →

Keywords: Connected Data • Cyber Monday • ecommerce • graph technology • personalized promotion • product recommendations • real-time recommendations • Recommendation Engine • Retail • Walmart

Neo4j Graph Database 3.3 Release: Everything You Need to Know

By Bryce Merkl Sasaki | October 31, 2017

As part of the Neo4j Graph Platform announced at GraphConnect New York last week, we are excited to announce the general availability release of the Neo4j Graph Database version 3.3. At the heart of the Graph Platform is the native… Read more →

Keywords: APOC • Connected Data • cypher • Cypher for Apache Spark • etl • graph algorithms • Graph Analytics • Neo4j Desktop • neo4j graph database • Neo4j Graph Platform

Cybersecurity & Graph Technology: An Excellent Fit

By Bryce Merkl Sasaki | October 19, 2017

Cybersecurity We are becoming increasingly dependent on technology. Yet, without diligent attention paid to cybersecurity, technology is vulnerable to unauthorized access, change or even destruction. These vulnerabilities pose threats to our individual and collective safety, security and human and economic… Read more →

Keywords: Big Data • Connected Data • cyber threat intelligence • cybersecurity • Equifax • financial data • graph technology • GraphAware • graphconnect • mitre

Rapid Graph Technology Prototyping of Sub-Contractor Relationships

By Bryce Merkl Sasaki | October 18, 2017

ISN is the leading provider of Health Safety and Environmental (HSE) management systems for contractor engagement. ISN collects and verifies HSE information from contractors to ensure that they are meeting the necessary requirements before they are allowed to come on… Read more →

Keywords: Connected Data • cypher • Expero • graph technology • graph traversal • HSE • ISN • javascript • Neo4j Browser • sub-contracting

GraphGrid: A Secure Global Connected Data Platform

By Bryce Merkl Sasaki | October 17, 2017

In early 2016, we started pioneering a unique frontier in cloud where many companies including Amazon Web Services (AWS) have not ventured: The deployment automation of secure, globally connected virtual private clouds (VPCs). We see the ability to communicate securely… Read more →

Keywords: amazon web services • AWS • Connected Data • disaster recovery • graphconnect • GraphGrid • microsoft azure • security architecture • virtual private cloud • VPC

7VORTEX: Systems Thinking Powered by Graph Technology

By Bryce Merkl Sasaki | October 10, 2017

The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out… Read more →

Keywords: biology • Connected Data • graph algorithms • graph technology • graph visualization • GraphAware • graphconnect • natural language processing • nlp • PageRank

The Top 10 Reasons You Should Attend GraphConnect New York

By Bryce Merkl Sasaki | September 28, 2017

This autumn, GraphConnect will again be in the town that never sleeps – New York City! Whether you’re new to the world of graph database or you’ve been a part of the movement for some time, there’s something new for… Read more →

Keywords: artificial intelligence • Connected Data • elasticsearch • graph database • graph technology • graphconnect • GraphQL • hackathon • Knowledge Graph • opencypher

Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]

By Bryce Merkl Sasaki | August 31, 2017

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Read more →

Keywords: Amazon • Analytics • Connected Data • data silo • data-driven decision making • ecommerce • graph technology • multi-channel marketplace • recommender system • Retail

Financial Services & Neo4j: 360-Degree View of Customer Experience

By Bryce Merkl Sasaki | August 21, 2017

Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they… Read more →

Keywords: 360-degree view of customer • Connected Data • credit card industry • credit card provider • customer experience • customer experience management • financial services • graph technology • Master Data Management • MDM

RDF Triple Stores vs. Labeled Property Graphs: What’s the Difference?

By Rachel Howard | August 18, 2017

Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect San Francisco in October 2016. Presentation Summary Resource Description Framework (RDF) triple stores and labeled property graphs both provide ways to explore and graphically depict connected data. But the… Read more →

Keywords: APOC • Connected Data • cypher • graphconnect • index free adjacency • owl • property graph • RDF • semantic web • sparql • Triple Store

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