This Week in Neo4j – Deep Learning on Graphs, Go Driver Released, Improved Azure Cloud support

Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week we had an exciting presentation by Andrew Jefferson about Deep Learning on Graphs as part… 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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Simplicity Wins: We’re Shifting to a Open Core Licensing Model for Neo4j Enterprise Edition

TL;DR: Starting with Neo4j 3.5, Enterprise Edition source code will no longer be published to the open source commons, including future versions. This does not impact Neo4j Community Edition. We will continue to deliver the world’s best and most comprehensive… 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 Databases for Beginners: ACID vs. BASE Explained

When it comes to NoSQL databases, data consistency models can sometimes be strikingly different than those used by relational databases (as well as quite different from other NoSQL stores). The two most common consistency models are known by the acronyms… 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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#GraphCast: Graph Karaoke Featuring The Knife’s “Heartbeat”

Welcome to our new biweekly Sunday series, #GraphCast, which aims to unearth digestible, notable and just plain fun Neo4j YouTube videos (of which there are a lot). Whether we focus on some of our most popular videos or highlight a… Read more →

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FOSDEM 2019: Join Us in the Graph Developer Room!

Like every year, the fall conference season is in full swing when we’re already preparing for the next batch of conferences in spring 2019. We’re happy to announce that the graph processing and graph database developer room was accepted again… Read more →

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New Features, Now: 5-Minute Interview with Mark Hashimoto, Senior Director of Engineering, Digital Home at Comcast

“One of the most surprising things I’ve seen with Neo4j is the speed at which we’re able to innovate and deliver features to our customers,” said Mark Hashimoto, Senior Director of Engineering, Digital Home at Comcast. In this week’s five-minute… 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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Xfinity xFi & User Personalization with Graphs

Editor’s Note: This presentation was given by Jessica Lowing at GraphConnect New York in September 2017. Presentation Summary We’ve come a long way towards making our homes smarter – but we still have a long way to go. Many of… 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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How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware

“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →

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We Just Closed the Largest Single Investment in the Graph Space. Now What?

I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →

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Graphs in Time and Space: A Visual Example

Editor’s Note: This presentation was given by Dan Williams at GraphConnect Europe in May 2017. Presentation Summary Graph databases are helping to solve some of today’s most pressing challenges. From managing critical infrastructure and understanding cyber threats to detecting fraud,… Read more →

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If You Build It They Will Come: Starting a GraphDB Meetup Where There Is None

About seven years ago, I came across Neo4j while trying to find a way to visually represent stored information and make connections like the human brain does. At the time, I only really needed to build an awesome recommendation engine… Read more →

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Graph Algorithms in Neo4j: The Rise of Graph Analytics

According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →

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Interchangeable Parts: 5-Minute Interview with Preston Hendrickson, Principal Systems Analyst at CALIBRE

“It’s easy to teach people to use Neo4j. It’s hands-on training, not death by PowerPoint,” said Preston Hendrickson, Principal Systems Analyst at CALIBRE. CALIBRE works with large government customers, including the U.S. Army, where maintenance, operation and support costs of… Read more →

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Graph Databases for Beginners: Why We Need NoSQL Databases

NoSQL databases are one of those things in life that are unhelpfully defined only by what they are not rather than by what they are, i.e., an anti-definition. NoSQL is a cheeky acronym for Not Only SQL – or more… Read more →

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NLP at Scale for Maintenance and Supply Chain Management

Editor’s Note: This presentation was given by Ryan Chandler at GraphConnect New York in October 2017. Presentation Summary Caterpillar is a 90-year-old company that manufactures large industrial machinery, including some autonomous vehicles. For the last decade, the company has been… Read more →

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5 Noteworthy Use Cases of Graph Technology and Graph Analytics

When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →

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Graph Algorithms in Neo4j: The Power of Graph Analytics

According to Gartner, “graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions.” Why did Gartner say this? Because graphs are the best structure for today’s complex and ever changing data, and if… Read more →

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Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI

We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →

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Why You Should Start Thinking About Your Organization as a Graph

Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database… Read more →

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Decyphering Your Graph Model

Editor’s Note: This presentation was given by Dom Davis at GraphConnect Europe in May 2017. Presentation Summary Graphs really are everywhere, and building your graph database model from the highest possible vantage point using natural language – and the language… Read more →

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