GraphConnect New York Agenda: Everything You Need to Know [2017 Edition]

You already have all the reasons you should attend GraphConnect New York, and now you know who the must-see presenters will be, but now it’s time for the best reason to attend: The bottom-to-top agenda of all the keynotes, presentations… Learn More →

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This Week in Neo4j – 7 October 2017

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. Featured Community Member: Michal Bachman This week’s featured community member is Michal Bachman, founder and Managing… Learn More →

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9 Must-See Speakers at GraphConnect New York [2017 Edition]

There are a lot of great reasons to attendGraphConnect New York, but one of the best reasons is that every year we feature an entirely new lineup of the world’s best graph database technology experts. This year’s GraphConnect is no… Learn 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… Learn More →

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The Top 10 Reasons You Should Attend GraphConnect New York

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… Learn More →

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

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 →

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This Week in Neo4j – 29 July 2017

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. Featured Community Member: Dave Bennett This week’s featured community member is Dave Bennett, Identity Solution Architect… Learn 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… Learn More →

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How NASA Finds Critical Data through a Knowledge Graph

Editor’s Note: This presentation was given by David Meza at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a knowledge architecture? What are the benefits of a knowledge architecture? The power of… Learn More →

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Relevant Search Leveraging Knowledge Graphs with Neo4j

“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Learn More →

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From the Neo4j Community: September 2016

The Neo4j community has been busy this autumn, and September (as the month before GraphConnect) was exceptional. Read on to see this past month’s top content, including great articles on polyglot persistence with MongoDB, RDF-to-graph transitions and using Neo4j with… Learn More →

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Your Technical Documentation Should Be a Graph: Here’s Why

TL;DR: This blog post is mainly about how technical documentation should ideally be structured: as a graph (not to be confused with a chart). As a software developer and author I have had the chance (and also the obligation) to… Learn More →

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Graph Databases in the Enterprise: Graph-Based Search

Graph-based search is a new approach to data and digital asset management originally pioneered by Facebook and Google. Search powered by a graph database delivers relevant information that you may not have specifically asked for – offering a more proactive… Learn More →

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