#GraphCast: How-To Video Series
By Allison Wu
January 10, 2020 < 1 min read
Binge our How-To Video Series at your own pace and delve further into the glorious world of Neo4j development.
Explore: Connected Data • GraphCast • Neo4j Aura • Neo4j Browser • Neo4j Community • Neo4j Desktop • neo4j development • Neo4j sandbox
Graph Databases for Beginners: Wait, What Do You Mean by “Graph”?
By Jocelyn Hoppa
December 16, 2019 7 mins read
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: chart • Connected Data • data model • graph • graph data model • graph database • graph technology • Graph Theory • network • relational database
Demographics Master Data at Citigroup
By Corin Gainey
December 12, 2019 19 mins read
Walter Trotta explains how graphs help him and Citibank dive deeply into demographics master data and what they get from this information.
Explore: Connected Data • cypher • data challenges • data domain • data governance • data model • graph database • Graph Databases • graphconnect • Knowledge Graph
Graph Theory Takes on the Opioid Epidemic
By Allison Wu
November 27, 2019 11 mins read
Delve into how graph databases offer value to a variety of use cases, particularly health care and – more recently – the opioid epidemic.
Explore: centrality • Connected Data • context • datacon • fraud • graph algorithms • graphconnect • Healthcare • opioid • opioid epidemic
A Conversation with Graphs
By Corin Gainey
November 20, 2019 16 mins read
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: ai • Connected Data • cypher • graph algorithms • Graph Databases • Graph Theory • graphconnect • json • machine learning • neo4j
Fullstack GraphQL with Neo4j
By Corin Gainey
November 13, 2019 20 mins read
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: artificial intelligence • Connected Data • cypher • Graph Databases • graph query language • graph visualization • graphconnect • GraphQL • GraphQL API • neo4j
Introducing Neo4j Aura: A New Graph Database as a Service
By Jocelyn Hoppa
November 6, 2019 4 mins read
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: ACID • Connected Data • cypher • database as a service • DBaaS • GRANDstack • GraphQL • intelligent applications • native graph database • Neo4j Aura
How Boston Scientific Improves Manufacturing Quality Using Graph Analytics
By Corin Gainey
October 16, 2019 20 mins read
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: artificial intelligence • Connected Data • cypher • graph database • GraphAware Hume • graphconnect • Hume • machine learning • neo4j • nlp
Turning Data Into Actionable Knowledge: 5-Minute Interview with David Meza
By David Penick
October 4, 2019 3 mins read
Check out this 5-minute interview with David Meza, Chief Knowledge Architect at Johnson Space Center, about how Neo4j has helped NASA.
Explore: 5-minute interview • Connected Data • cypher • Data Visualization • David Meza • engineers • graph database • graph technology • graph visualization • Knowledge Graph
#GraphCast: How Lyft Drives Data Discovery
By Jocelyn Hoppa
September 27, 2019 < 1 min read
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: Amundsen • Connected Data • data discovery • graph database • GraphCast • graphconnect • GraphTour • Lyft • neo4j • Tamika Tannis
Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft
By Corin Gainey
September 26, 2019 5 mins read
Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.
Explore: Connected Data • data discovery • data model • Data Visualization • ETL tool • graph database • graph technology • Knowledge Graph • Lyft • machine learning
Connecting our Community with NODES 2019 Viewing Parties!
By Jocelyn Hoppa
September 19, 2019 2 mins read
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: Connected Data • Global Graph Celebration Day • graphs • Neo4j Community • NODES 2019 • online developer conference
Innovate In Less Than a Week: 5-Minute Interview with Alessandro Svensson
By Deb Cameron
September 6, 2019 5 mins read
Check out this 5-minute interview with Alessandro Svensson and discover the features and benefits of Neo4j’s Innovation Lab.
Explore: 5-minute interview • Alessandro Svensson • Connected Data • data model • data science • design thinking • fast prototyping • graph database • graph modeling • graph representation
Visual Cypher: Presenting Tools That Create, Visualize and Parse Cypher
By Corin Gainey
August 28, 2019 8 mins read
Learn how valuable creating, visualizing and parsing Cypher is within graph building with Eric Monk.
Explore: arrows • Connected Data • cypher • data model • data models • db.Schema • graph visualization • graphconnect • Load CSV
AI & Graph Technology: How Graphs Accelerate Machine Learning
By David Penick
August 12, 2019 2 mins read
Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.
Explore: ai • AI / Machine Learning • Connected Data • data science • graph accelerated machine learning • graph technology • Knowledge Graph • knowledge graphs • machine learning algorithms
Liberating Knowledge: Machine Learning Techniques with Neo4j
By Jocelyn Hoppa
July 3, 2019 13 mins read
Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.
Explore: ai • Connected Data • Graph Analytics • graph-based search • graphconnect • Hume • Knowledge Graph • machine learning • natural language understanding • neo4j
From Collections to Connections: Where Hadoop Adoption Goes from Here
By Jocelyn Hoppa
June 13, 2019 4 mins read
Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.
Explore: ai • Big Data • Connected Data • data lake • data management • Data Relationships • data swamp • Data Warehousing • Hadoop • machine learning
Neo4j Bloom 1.1: Simple, Powerful & Team Ready [Release]
By Bryce Merkl Sasaki
June 6, 2019 3 mins read
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: Connected Data • cypher • Data Visualization • dba • Graph Analytics • graph database • graph traversals • graph visualization • Neo4j Bloom • Neo4j Desktop
Graphs in Government: The Power of Graph Technology
By Jocelyn Hoppa
April 29, 2019 4 mins read
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: Connected Data • criminal investigations • government • graph database • graph technology • nasa • neo4j • rdbms • relational database • u.s. army
Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
By Jocelyn Hoppa
April 15, 2019 3 mins read
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: Connected Data • data scientists • developers • graph algorithms • Graph Analytics • intelligent solutions • machine learning • neo4j • oreilly • predictive analytics
We’re Expanding the Neo4j Startup Program: Now More Entrepreneurs Get Neo4j Enterprise Edition & Neo4j Bloom – for Free
By Bryce Merkl Sasaki
March 26, 2019 3 mins read
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: ACID • Causal Clustering • Connected Data • graph database • graph technology • graph visualization • Knowledge Graph • Neo4j Bloom • Neo4j Enterprise Edition • Neo4j Startup Program
Exploring Inherent Connections: 5-Minute Interview with Dr. Alexander Jarasch
By Jocelyn Hoppa
March 22, 2019 2 mins read
“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: 5-minute interview • Connected Data • cypher • data model • Diabetes Research • Dr. Alexander Jarasch • graph database • graph technology • Knowledge Graph • neo4j
Graph Algorithms in Neo4j: Label Propagation
By Jocelyn Hoppa
March 4, 2019 4 mins read
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: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • graph database • Knowledge Graph • label propagation • large-scale networks • neo4j
Graph Algorithms in Neo4j: Weakly Connected Components
By Jocelyn Hoppa
February 25, 2019 3 mins read
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: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • intelligent solutions • Master Data Management • union-find • Weakly Connected Components
Graph Algorithms in Neo4j: Strongly Connected Components
By Jocelyn Hoppa
February 18, 2019 3 mins read
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: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • Graph Databases • intelligent solutions • Strongly Connected Components
