When Graph Meets Big Data: Obstacles and Opportunities for Visualization

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 →

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11 Must-See Speakers at GraphConnect 2018 in New York City

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 →

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GDPR Compliance: 4 Simple Steps to Building a GDPR Solution

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 →

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

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 →

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GDPR Compliance: The Challenges and Problems with Personal Data

European Union regulators are dead serious about protecting the privacy of their citizens’ personal data. The General Data Protection Regulations (GDPR) that take effect on 25 May 2018 apply to all EU and foreign organizations handling personal data of EU… Read more →

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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]

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 →

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Neo4j Life Sciences & Healthcare Workshop – Proceedings from Berlin

Often invisible to the people outside of the field, life science researchers have been quietly embracing graph databases instead of the traditional triple and relational stores. On June 21, we invited a group of life science and healthcare researchers and… Read more →

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Graph Technology for Enterprise Master Data Management (MDM)

Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →

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The 5-Minute Interview: Aaron Wallace, Product Manager at Pitney Bowes

“We knew we couldn’t come to market with the same old solution and be competitive – so we decided to explore a differentiated solution,” said Aaron Wallace, Product Manager at Pitney Bowes. As a software company prepared to enter the… Read more →

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Graph Visualization for Neo4j Schemas using yFiles

I have been working with graph visualizations for almost 20 years now, but only recently have I begun looking into graph databases. Shortly after I got introduced to Neo4j, I found that when looking at existing dataset examples I often… Read more →

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Graph-Based Enterprise Architecture Management

Today, enterprise architects are required to deliver insights quickly and make sense of large amounts of enterprise data (business knowledge, application information, technology assets, etc.). In this process, understanding and modeling interdependencies between entities is key. With relationships at the… Read more →

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Fraud Prevention with Neo4j: A 5-Minute Overview

Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Read more →

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This Week in Neo4j – 8 April 2017

Welcome to this week in Neo4j, where we round up what’s been happening in the world of graph database in the last seven days. This week we look at how to create a Twitter clone using Neo4j, the Neo4j data… Read more →

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

“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… Read more →

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