This Week in Neo4j – 16 September 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: Bruno Peres This week’s featured community member is Bruno Peres, Programmer at GeoSapiens.… Learn More →

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This Week in Neo4j – 2 September 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: Felienne Hermans This week’s featured community member is Felienne Hermans, Assistant Professor at… Learn More →

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Graph Algorithms: Make Election Data Great Again

Editor’s Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and… Learn More →

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This Week in Neo4j – 19 August 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: Michelle Sanver This week’s featured community member is Michelle Sanver, Software Developer at… Learn More →

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

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… Learn More →

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A Game of Data and GraphQL [Game of Thrones Community Post]

This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data. As season 7 is… Learn More →

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Cypher: Write Fast and Furious

Editor’s Note: This presentation was given by Christophe Willemsen at GraphConnect San Francisco in October 2016. Presentation Summary In this presentation, Christophe Willemsen covers a variety of do-and-don’t tips to help your Cypher queries run faster than ever in Neo4j.… Learn More →

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Machine Learning, Graphs and the Fake News Epidemic (Part 2)

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Learn More →

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Proudly Releasing: Efficient Graph Algorithms in Neo4j

I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics… Learn More →

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Financial Services & Neo4j: Cybersecurity

Cybersecurity is of critical importance to financial services firms. IT organizations must mitigate cybersecurity risk, both in terms of external access to the infrastructure and in understanding how a malware infection or attack can move across a particular network. These… Learn More →

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GraphConnect: New York City, Here We Come!

As you already know, Neo4j embodies relationships and connections between data. Not just that, it taps into the value of these relationships and connections. This is why we started GraphConnect: We wanted to put just as much emphasis on connecting… Learn More →

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Summer 2017 Release of the APOC Procedures Library

It’s summertime, but that doesn’t mean we’re less active building cool stuff for you to use with Neo4j. If you haven’t heard of APOC yet – dubbed “Awesome Procedures On Cypher” – it’s a Swiss Army knife of useful utilities… Learn More →

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This Week in Neo4j – 22 July 2017

This week’s featured community member Leila Haddou, Data Journalist for The Times and Sunday Times. We also have projects around Game of Thrones, MDM, and Cypher query profiling.

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This Week in Neo4j – 8 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: Cristina Escalante Every since Cristina met Max de Marzi in Chicago many years… Learn More →

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Financial Services & Neo4j: Anti-Money Laundering

Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection… Learn More →

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This Week in Neo4j – 24 June 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. This week we look at how to create a Neo4j powered Alexa bot, analysing the Neo4j… Learn More →

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Financial Services & Neo4j: Fraud Detection

Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Learn More →

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This Week in Neo4j – 17 June 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: Jasper Blues This week’s featured community member is Jasper Blues, a long time… Learn More →

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The Emergence of the Enterprise DataFabric

Editor’s Note: This presentation was given by Mark Kvamme and Clark Richey at GraphConnect San Francisco in October 2016. Presentation Summary Enterprises are faced with a variety of challenges when it comes to managing data, largely due to the disparate… Learn More →

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This Week in Neo4j – 27 May 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: Florin Pătraşcu This week’s featured community member is Florin Pătraşcu, System Architect at… Learn More →

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GraphQL Meets Graph Database: A GraphQL + Neo4j Integration

As part of our work on the Neo4j Developer Relations team, we are interested in integrating Neo4j with other technologies and frameworks, ensuring that developers can always use Neo4j with their favorite technologies. A very interesting development in recent months… Learn More →

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The 5-Minute Interview: David Brian Ward, CEO & Founder, Telegraph Hill Software

“As with any kind of software, the best for the job is one whose function matches your data structures,” said David Brian Ward, CEO and Founder of Telegraph Hill Software. David and his team were searching for a tool that… Learn More →

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Neo4j 3.2 GA Release: Enterprise Scale, Native Performance & More

We are proud to announce the general availability release of Neo4j 3.2. This release marks an expansion in global scale, enterprise refinement and all-around performance. It signals that the next generation of graph-powered Internet applications will span the globe. To… Learn More →

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Detecting Fake News with Neo4j & KeyLines

Fake news is one of the more troubling trends of 2017. The term is liberally applied to discredit everything, from stories with perceived bias through to ‘alternative facts’ and downright lies. It has a warping effect on public opinion and… Learn More →

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This Week in Neo4j – 6 May 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: Alessio De Angelis This week’s featured community member is Alessio De Angelis, an… Learn More →

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