#GraphCast: How-To Video Series

Binge our How-To Video Series at your own pace and delve further into the glorious world of Neo4j development.

Explore:  


Graph Databases for Beginners: Wait, What Do You Mean by “Graph”?

Learn the difference between a graph and a chart, including the basics of nodes and relationships as well as graph theory and its application to databases.

Explore:  


Demographics Master Data at Citigroup

Walter Trotta explains how graphs help him and Citibank dive deeply into demographics master data and what they get from this information.

Explore:  


Graph Theory Takes on the Opioid Epidemic

Delve into how graph databases offer value to a variety of use cases, particularly health care and – more recently – the opioid epidemic.

Explore:  


A Conversation with Graphs

Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →

Explore:  


Fullstack GraphQL with Neo4j

Dive into this introduction to GraphQL with Will Lyon. Built by Facebook, GraphQL is a query language to describe data sets and deliver predictable results.

Explore:  


Introducing Neo4j Aura: A New Graph Database as a Service

Discover unique features of Neo4j Aura, the first fully managed native graph database as a service, and why it was built to be developer friendly.

Explore:  


How Boston Scientific Improves Manufacturing Quality Using Graph Analytics

Editor’s Note: This presentation was given by Eric Wespi and Eric Spiegelberg at GraphConnect New York in September 2018. Presentation Summary We’re going to talk about some project themes that make sense when you’re going about developing a graph project.… Read more →

Explore:  


Turning Data Into Actionable Knowledge: 5-Minute Interview with David Meza

Check out this 5-minute interview with David Meza, Chief Knowledge Architect at Johnson Space Center, about how Neo4j has helped NASA.

Explore:  


#GraphCast: How Lyft Drives Data Discovery

Check out this week’s #GraphCast, featuring a GraphTour presentation on how Lyft drives data discovery by Tamika Tannis, a software engineer using Amundsen.

Explore:  


Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft

Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.

Explore:  


Connecting our Community with NODES 2019 Viewing Parties!

Check out already-scheduled viewing parties for Neo4j Online Developer Expo & Summit (NODES 2019) to see if there’s one in your area (or create your own!).

Explore:  


Innovate In Less Than a Week: 5-Minute Interview with Alessandro Svensson

Check out this 5-minute interview with Alessandro Svensson and discover the features and benefits of Neo4j’s Innovation Lab.

Explore:  


Visual Cypher: Presenting Tools That Create, Visualize and Parse Cypher

Learn how valuable creating, visualizing and parsing Cypher is within graph building with Eric Monk.

Explore:  


AI & Graph Technology: How Graphs Accelerate Machine Learning

Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.

Explore:  


Liberating Knowledge: Machine Learning Techniques with Neo4j

Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.

Explore:  


From Collections to Connections: Where Hadoop Adoption Goes from Here

Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.

Explore:  


Neo4j Bloom 1.1: Simple, Powerful & Team Ready [Release]

Discover what’s new in the 1.1 release of the Neo4j Bloom graph data visualization tool, including internet browser capabilities and new role-based security.

Explore:  


Graphs in Government: The Power of Graph Technology

The use cases for a graph database in government are endless. Graphs are versatile and dynamic. They are the key to solving the challenges you face in fulfilling your mission. Using real-world government use cases, this blog series explains how… Read more →

Explore:  


Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j

Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.

Explore:  


We’re Expanding the Neo4j Startup Program: Now More Entrepreneurs Get Neo4j Enterprise Edition & Neo4j Bloom – for Free

Last year, the Neo4j Startup Program provided free access to Neo4j Enterprise clusters to over 650 startups with less than 20 employees. We’ve now significantly expanded the program to support much larger organizations, with up to 50 employees! We’ve also… Read more →

Explore:  


Exploring Inherent Connections: 5-Minute Interview with Dr. Alexander Jarasch

“When I saw Neo4j the first time, I was overwhelmed by how easy it is to connect different types of data,” said Dr. Alexander Jarasch, Head of Data and Knowledge Management at the German Center for Diabetes Research. Diabetes is… Read more →

Explore:  


Graph Algorithms in Neo4j: Label Propagation

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

Explore:  


Graph Algorithms in Neo4j: Weakly Connected Components

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

Explore:  


Graph Algorithms in Neo4j: Strongly Connected Components

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

Explore: