Detecting Cryptocurrency Fraud with Neo4j

As cryptocurrency is likely to play a big role in the future of finance, link analysts need graph visualization fraud detection tools that are up to the job.

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Getting Started with the Neo4j BI Connector

Learn how to get started with the Neo4j BI Connector, which provides easy access to Neo4j datasets from popular BI tools like Tableau and more.

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The Future of the Intelligent Application: Business Agility

Learn more about how Neo4j 4.0 provides business agility by design to your applications through multi-database and cloud deployment options.

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Why Leading Telecoms Use Neo4j: The 5-Minute Interview with Jesús Barrasa, Global Director of Telecoms at Neo4j

In this week’s five-minute interview with Jesús Barrasa (conducted at GraphTour NYC 2019), we discuss how graph technology helps the telecoms world.

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Machine Learning Algorithms

Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.

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The Future of the Intelligent Application: Granular Security

For the third installment of this four-part blog series, we will discuss how Neo4j 4.0 provides powerful robust, granular security.

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#GraphCast: Responsible AI

This week’s #GraphCast features Responsible AI where Amy Hodler discusses ethical development and application of artificial intelligence and technology.

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Run Cypher to Analyze Neo4j Graph Database Inconsistencies

Learn advanced Cypher queries for one approach to analyzing data inconsistencies directly in your flexible and forgiving Neo4j graph database.

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The Future of the Intelligent Application: Scalability for Unlimited Growth

Read the second installment in our series on the future of the intelligent application, which examines scalability, including federated graphs and sharding.

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Leveraging Graphs for GDPR at Convergys

Lloyd Byrd discusses how the addition of graph technology helped Convergys solve more than just their issues around the latest EU GDPR directive.

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The Graphie Awards: What They Are & How to Win One at GraphConnect 2020

Learn how your Neo4j-powered project or application could be up for recognition with a Graphie Award at the GraphConnect 2018 conference in New York City.

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The Future of the Intelligent Application: Why Graph Technology Is Key

Read the first installment in our series on the future of the intelligent application, which shows the emerging requirements for these applications.

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Relationships Mean Retention: The 5-Minute Interview with Realogy’s Neerav Vyas

In this week’s five-minute interview with Neerav Vyas (conducted at GraphTour NYC 2019), we discuss how Realogy Holdings uses graph technology.

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Performant Queries on Highly Connected, Growing Data

Querying networks in relational databases is often unintuitive. Explore how to use labels and leverage stored procedures for performance improvements.

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Pokégraph: Gotta Graph ‘Em All!

Discover that graphs are really everywhere with Joe Depeau’s blog series. For this installment, he delves into the wonderful world of Pokémon.

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Sharding the LDBC Social Network

Explore the use of Fabric to achieve horizontal scaling, i.e. sharding, of the well-known and challenging LDBC Social Network Benchmark graph.

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#GraphCast: Migrating from Neo4j 3.5 to 4.0

Watch this quick demonstration video to learn everything you need to know to migrate from Neo4j graph database 3.5 to the newly released 4.0.

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Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware

In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.

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Real-time Analytics News Roundup

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Predictive Analysis from Massive Knowledge Graphs on Neo4j

David Bader, GA Institute of Tech, explains how predictive graphs are implemented to detect patterns of linked data as well as anticipate new breakthroughs.

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