#GraphCast: What Is a Graph Database in 10 Minutes

Explore the world of graph technology in this week’s #GraphCast, featuring a high-level explainer of what a native graph database is in 10 minutes.

Explore:  


Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database

Discover the benefits of a graph database via a story about auctioning off the Porsche 935 Paul Newman co-drove to a second place in the 1979 LeMans race.

Explore:  


Introducing Neo4j 4.1

Learn about new features we’re introducing with Neo4j 4.1, including role-based access control and granular security, Causal Clustering and more.

Explore:  


Graph-Powered Recommendations: A Framework for Faster Development

Read blog three in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

Explore:  


Unlimited Possibilities: 5-Minute Interview with David Mohr

In this week’s five-minute interview with David Mohr (conducted at GraphTour NYC 2019), we discuss how Neo4j helps new users learn graph technology.

Explore:  


Graph Databases for Beginners: The Basics of Graph ETL

Learn how ETL tools (extract, transform, load) work, including the basics of graph ETL, which converts relational databases to graph databases.

Explore:  


Practical Applications of Neo4j 4.0

Learn about practical applications in the newly released Neo4j 4.0, with our partner GraphAware using specific examples to showcase the benefits.

Explore:  


Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud

Read blog three on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

Explore:  


#GraphCast: Getting Started with Arrows

Check out this week’s #GraphCast, which features a quick tutorial on the Arrows tool, which is an easy yet effective way to do graph data modeling.

Explore:  


Graphs and the Strategic Response Efforts to COVID-19

Discover graph-powered COVID-19 projects, how Neo4j is supporting these efforts, and also learn how to get involved or receive support.

Explore:  


Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering

Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

Explore:  


Financial Fraud Detection with Graph Data Science: Augment Your Approach

Read blog 1 on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

Explore:  


#GraphCast: Unlimited Scalability with Neo4j 4.0

Check out this week’s #GraphCast, featuring a short video about the database scalability, sharding and federation capabilities now available in Neo4j 4.0.

Explore:  


Announcing Neo4j for Graph Data Science

Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.

Explore:  


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.

Explore:  


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.

Explore:  


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.

Explore:  


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.

Explore:  


Machine Learning Algorithms

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

Explore:  


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.

Explore:  


#GraphCast: Responsible AI

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

Explore: