5-Minute Interview: Graph Databases For Dummies with Dr. Jim Webber and Rik Van Bruggen
By Jocelyn Hoppa
October 15, 2020 5 mins read
Recently we sat down with the authors of Graph Databases For Dummies, Neo4j Special Edition, Dr. Jim Webber and Rik Van Bruggen. Dr. Webber is Neo4j’s Chief Scientist and Mr. Van Bruggen leads the Neo4j sales team in Europe, and… Read more →
Keywords: graph database • graph databases for dummies • learning neo4j • Neo4j Community
Insider Guide to Graph Data Science: First, a Brief Overview
By Jocelyn Hoppa
October 12, 2020 6 mins read
Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.
Keywords: graph algorithms • Graph Analytics • graph data science • graph embeddings • graph export • in-memory graph • machine learning
Top 10 Speakers to Look Out for at NODES 2020
By Enzo
October 8, 2020 6 mins read
Check out the top 10 speakers, including graph experts from NASA, Google and Neo4j, presenting at Neo4j Online Developer Expo and Summit.
Keywords: Graph Databases • graph developer • Neo4j developer • nodes 2020 • online event
Introducing Graph Databases For Dummies
By Jocelyn Hoppa
September 16, 2020 7 mins read
Check out some main highlights from Chapter 1 of the newly release Graph Databases For Dummies, Neo4j Special Edition.
Keywords: data models • graph database basics • Graph Database for Dummies • labeled property graphs • queries at scale
Neo4j Bloom Tips and Tricks for Domain Knowledge Experts
By Enzo
July 29, 2020 9 mins read
Master graph data visualization in Neo4j Bloom from choosing a data model, fitting it to domain and exploring six generic patterns without needing to code.
Keywords: Bloom tips • data modeling • domain expert • graph data model • graph data visualization • graph visualization • Neo4j Bloom
Getting Started with Neo4j Fabric
By Jocelyn Hoppa
July 2, 2020 7 mins read
Learn everything you need to know to get started with Neo4j Fabric, a new 4.0 feature allowing you to store and retrieve data in multiple databases.
Keywords: cypher • data federation • data sharding • fine-grained access control • multiple dbms • Neo4j 4.0 • Neo4j Desktop • Neo4j Fabric • querying multiple databases • running correlated subqueries
Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database
By Jocelyn Hoppa
June 25, 2020 6 mins read
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.
Keywords: Big Data • data analytics • data science • fraud • graph database • machine learning • Paul Newman • relational database • social media • sql
Check Out Some of This Year’s Graphs4Good GraphHack Projects
By Jocelyn Hoppa
April 16, 2020 8 mins read
Discover with that Neo4j Community created for our Graphs4Good GraphHack event, which includes a number of amazing COVID-19 projects.
Keywords: Global Graph Celebration Day • Graph Theory • graphHack • Graphs4Good • Leonhard Euler • Neo4j Community
Graph Theory Takes on the Opioid Epidemic
By Allison Wu
November 27, 2019 12 mins read
Delve into how graph databases offer value to a variety of use cases, particularly health care and – more recently – the opioid epidemic.
Keywords: centrality • Connected Data • context • datacon • fraud • graph algorithms • graphconnect • Healthcare • opioid • opioid epidemic
Responsible AI: The Critical Need for Context (and Practical Tips)
By Jocelyn Hoppa
November 26, 2019 9 mins read
Read the second and final installment of this blog series on responisble AI, why context is critical to achieving responsible AI, and get practical tips.
Keywords: ai and context • community detection • data lineage • data manipulation • fraud • graph algorithms • Graph Data • Graph Theory • healthcare data • machine learning
Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis
By Jocelyn Hoppa
November 19, 2019 9 mins read
Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.
Keywords: business intelligence • data scientists • graph algorithms • Graph Analytics • healthcare data • machine learning • neo4j • Neo4j Bloom • opioid crisis
#GraphCast: “Graph Databases Will Change Your Freakin’ Life”
By Jocelyn Hoppa
November 15, 2019 < 1 min read
Catch this week’s GraphCast: Watch this entertaining presentation on graph databases and learn the reasons and ways they are life-changing for developers.
Keywords: cypher • Ed Finkler • emil eifrem • graph database • GraphCast • GraphStory • neo4j • NODES 2019
Introducing Neo4j AuraDB: A New Graph Database as a Service
By Jocelyn Hoppa
November 6, 2019 4 mins read
Discover unique features of Neo4j AuraDB, the first fully managed native graph database as a service, and why it was built to be developer friendly.
Keywords: ACID • Connected Data • cypher • database as a service • DBaaS • GRANDstack • GraphQL • intelligent applications • native graph database • Neo4j Aura
GraphConnect 2020: Call for Papers Closing November 15
By Jocelyn Hoppa
October 17, 2019 2 mins read
Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.
Keywords: call for papers • graph database • GraphConnect 2020 • neo4j • Neo4j Community
Announcing NODES 2019 Global GraphHack
By Jocelyn Hoppa
July 25, 2019 2 mins read
Leading up to our first-ever Neo4j Online Developer Expo and Summit (NODES 2019), we’re planning a worldwide virtual hackathon with our community! Neo4j community members of all experience levels are encouraged to participate. This is a great opportunity to connect… Read more →
Keywords: DevZone • Global GraphHack • graphconnect • hackathon • Neo4j Community • Neo4j Online Developer Expo and Summit • NODES 2019
The Present and Future of Artificial Intelligence and Machine Learning
By Jocelyn Hoppa
June 12, 2019 22 mins read
Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.
Keywords: ai • AI ethics • AI technology • artificial intelligence • Big Data • graphconnect • machine learning • machine learning technology • modern computing • natural language generation
The Seven Bridges of Königsberg: A Dog’s Eye View
By Jocelyn Hoppa
May 23, 2019 8 mins read
Follow Armstrong as he pathfinds his way through North London, with the help of graph algorithms, discovering new routes to cover more territory.
Keywords: cypher • graph algorithms • graph database • Leonhard Euler • neo4j • pathfinding • Seven Bridges of Königsberg • shortest path • temporal view
Graph Technology to Fight Terrorist Threats
By Jocelyn Hoppa
May 15, 2019 10 mins read
Discover how the American Enterprise Institute uses Neo4j and Linkurious to find hidden complex data relationships to uncover terrorist threats.
Keywords: Critical Threats Project • geospatial analysis • graph analysis • graph intelligence platform • graph visualization • graphconnect • real-time network visualization • terrorist threat • threat detection
Going Underground: Graphing and Pathfinding London Tube Lines
By Jocelyn Hoppa
May 2, 2019 7 mins read
Read the latest installment of Joe Depeau’s blog series on graphing and pathfinding the London Underground, complete with Cypher queries and data models.
Keywords: geospatial query • graph algorithms • graph database • London Tube • meta-graph • neo4j • pathfinding • public transportation • weighted shortest path
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.
Keywords: Connected Data • data scientists • developers • graph algorithms • Graph Analytics • intelligent solutions • machine learning • neo4j • oreilly • predictive analytics
Keep Calm and Drink Tea: Graphing Britain’s Most Beloved Hot Beverage
By Jocelyn Hoppa
March 14, 2019 6 mins read
Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →
Keywords: data model • Graph Data • graph database • Iron Goddess of Mercy • knowledge graphs • neo4j • tea • technology solutions
Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 2019 5 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 →
Keywords: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
#GraphCast: Graph Algorithms & Game of Thrones
By Jocelyn Hoppa
December 9, 2018 < 1 min read
Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Editor-in-Chief, Bryce Merkl Sasaki, shined some light back on our Intro to APOC video series (by Michael… Read more →
Keywords: data analysis • Game of Thrones • graph algorithms • graph database • GraphCast
Graph Databases for Beginners: Graph Search Algorithm Basics
By Joy Chao
October 10, 2018 9 mins read
When he wasn’t busy shelving books, collecting overdue fines and shushing children (we can only presume) in the library at the House of Wisdom, Muhammad ibn Musa al-Khwarizmi was also keeping up a few other side projects: inventing algebra, popularizing… Read more →
Keywords: best-first search • breadth-first search • depth-first search • Dijkstra's algorithm • graph algorithms • Graph Search • graph search algorithm • graph technology • Graph Theory
The ROI on Connected Data:
Extract More Value from Existing Data Using Graphs [+ Telia Case Study]
By Jocelyn Hoppa
June 18, 2018 6 mins read
From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well. What those new to graph technology may not understand is that creating a graph does not require starting from… Read more →
Keywords: Big Data • Causal Clustering • Connected Data • data lake • data model • graph database • graph platform • graph technology • Oracle • rdbms