#GraphCast: Emil Eifrem on the Exponential View podcast with Azeem Azhar

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted the similarities between the choose-your-own-adventure movie, Black Mirror: Bandersnatch and running… Read more →

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This Week in Neo4j – Topic Extraction with Graphileon, Neo4j 3.5 FTS Deep Dive, Neo4j for Very Large Scale Systems

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 →

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This Week in Neo4j – Graph Layouts with Graph Algorithms and Machine Learning, Graphing the Floodlight Open Project data, Multi-Turn Conversational Voice Experiences with a Knowledge Graph

We’re almost half-way through January, so it must be time for another installment of This Week in Neo4j. It’s been a busy week as the community kicks back into action after the New Year’s hangover. Jennifer Reif is back with… Read more →

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Social Power, Operational Ease: 5-Minute Interview with David Fox, Software Engineer at Adobe

“We were able to go from 48 Cassandra instances to three Neo4j instances. Going into the project, we weren’t sure whether that was going to be possible,” said David Fox, Software Engineer at Adobe. Adobe runs Behance, a social network… Read more →

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Next-Gen Master Data Management Runs at the Speed of Now [Infographic]

Having a lot of data to mine from is a truly beautiful thing. But many businesses today struggle with data – especially as it grows and becomes more complex – that’s stored in different data repositories, not to mention different… Read more →

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Mastering Highly Distributed Architecture

Editor’s Note: This presentation was given by Thomas Lawrence at GraphConnect New York in October 2017. Presentation Summary Amadeus is one of the largest software companies in the world. The following post explores how the company built their YAC visualizer,… Read more →

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This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs

Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →

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Moving From the Static Grid to the Virtualized Graph Database

Editor’s Note: This presentation was given by Aaron Wallace and Andrew Chumney at GraphConnect New York City in 2017. Presentation Summary The adoption of the European Union’s GDPR regulation in May of 2018 has forever changed the way enterprises have… Read more →

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The Top 10 Neo4j Videos of 2018

Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →

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The Top 10 Neo4j Podcasts of 2018

Since March 2015, Neo4j VP Rik Van Bruggen has been hosting the Graphistania podcast, covering the wonderful world of graph database technology and interviewing some of the most interesting graph thinkers and developers from across the globe. If you’re new… Read more →

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KeneteK & LARUS Announce a New Graph Partnership

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 →

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Announcing the Neo4j GraphTour in 8+ Cities Worldwide

Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →

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Graph Databases for Beginners: Native vs. Non-Native Graph Technology

It’s a common figure of speech: “Jack of all trades, master of none.” The heart behind the phrase is that if you’re trying to be good at everything, you normally end up being sort of mediocre at a large number… Read more →

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#GraphCast: Graph Algorithms & Game of Thrones

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Editor-in-Chief, Bryce Merkl Sasaki, shined some light back on our Intro to APOC video series (by Michael… Read more →

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Intelligent Recommendation Engine for Financial Analysts

Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with… Read more →

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Evaluating Investor Performance Using Neo4j, GraphXR and ML

[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →

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(hackathon)-[:AT]->(stackoverflowoffices)

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 →

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How to Exploit the 6 Relationships of Retail to Delight Your Customers [Infographic]

Retail opportunities are as big and dynamic as the industry has ever seen, and yet, knowing what to do or how to attack said opportunities is a bit more difficult to ascertain. U.S. retail sales per year are in the… Read more →

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Flexible Data Pipelines: 5-Minute Interview with Pat Patterson, Technical Director, StreamSets

“With Neo4j, we can run analyses across relationships. These analyses are not feasible or even possible when the data is spread out among different systems,” said Pat Patterson, Technical Director, StreamSets. In this week’s five-minute interview, we discuss how StreamSets… Read more →

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Journey Planning… And Why I Love Cypher

Editor’s Note: This presentation was given by Adam Cowley at GraphConnect Europe in May 2017. Presentation Summary Adam Cowley wanted to create a door-to-door journey-planning tool with Cypher that would allow him to accurately map a trip via train, bus,… Read more →

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Fraud Detection Using Graph Technology

Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →

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Creating a Data Distribution Knowledge Base Using Neo4j

Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users… Read more →

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Graph Algorithms in Neo4j: Graph Technology & AI Applications

Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases. This blog series is designed to help you better leverage… Read more →

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How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →

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Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics

Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →

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