Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database
By Jocelyn Hoppa
June 25, 2020 5 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.
Explore: Big Data • data analytics • data science • fraud • graph database • machine learning • Paul Newman • relational database • social media • sql
Your World Seen Through Your Eyes with Neo4j Bloom
By Corin Gainey
June 17, 2020 21 mins read
Andreas Kolleger discusses Neo4j Bloom and the possibilities it opens up for enterprise organizations across their departments.
Explore: artificial intelligence • Big Data • Connected Data • data model • Data Visualization • graphconnect • Knowledge Graph • machine learning • neo4j • rdbms
Graph-Powered Recommendations: Instantly Evaluating Relationships
By David Penick
May 18, 2020 2 mins read
Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: Big Data • blog • blog series • cypher • Cypher Query • graph algorithms • graph powered recommendation • Hadoop • Intelligent Recommendations Framework • Recommendation Engine
How Previa Is Reimagining Healthcare
By Corin Gainey
April 29, 2020 18 mins read
Editor’s Note: This presentation was given by Alessandro Svensson and Sarah Johnnesson at GraphConnect New York in September 2018. Presentation Summary Alessandro Svensson is the Head of Neo4j Innovation Labs within the U.S. He and Sarah Johnnesson of Previa discuss… Read more →
Explore: ai • artificial intelligence • Big Data • Connected Data • cypher • data model • Data Visualization • graphconnect • machine learning • neo4j
Why Connected Data is Crucial to Pharmaceutical Research
By IPIMediaWorld - April 1, 2020
Explore: alicia frame • Analysis • Big Data • Pharma • valuable
Leveraging Graphs for GDPR at Convergys
By Corin Gainey
March 4, 2020 13 mins read
Lloyd Byrd discusses how the addition of graph technology helped Convergys solve more than just their issues around the latest EU GDPR directive.
Explore: Big Data • Connected Data • data model • Data Visualization • graph database • Graph Theory • graph visualization • graphconnect • neo4j • relational database
Ontologies in Neo4j: Semantics and Knowledge Graphs
By Corin Gainey
February 19, 2020 10 mins read
Jesús Barrasa presents the two biggest uses of ontologies in graphs using Neo4j and NeoSemantics; inferences and interoperability.
Explore: artificial intelligence • Big Data • Connected Data • graph technology • Knowledge Graph • machine learning • neo4j • ontologies • ontology
Graphs to Fight Diabetes
By Corin Gainey
January 15, 2020 12 mins read
Discover how Neo4j graph databases contribute to the study, understanding, prevention and treatment concerning diabetes with Alexander Jarasch from DZD.
Explore: artificial intelligence • Big Data • Data Visualization • graph algorithms • graphconnect • Knowledge Graph • 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
The Present and Future of Artificial Intelligence and Machine Learning
By Jocelyn Hoppa
June 12, 2019 18 mins read
Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.
Explore: ai • AI ethics • AI technology • artificial intelligence • Big Data • graphconnect • machine learning • machine learning technology • modern computing • natural language generation
Ingesting Data into Neo4j for Master Data Management
By Jocelyn Hoppa
May 29, 2019 7 mins read
Discover how StreamSets uses the power of the Neo4j graph database for data integration and master data management.
Explore: Big Data • bolt protocol • cypher • data integration • graphconnect • ingesting data • IoT • JDBC Connector • Master Data Management • product support
The Future of Data Visualization
By Jocelyn Hoppa
March 20, 2019 6 mins read
Editor’s Note: This presentation was given by Brendan Madden at GraphConnect New York in October 2017. Presentation Summary Tom Sawyer Software is a graph data visualization tool that was founded long before graph databases first hit the market. But with… Read more →
Explore: Big Data • cypher • data integration • data synchronization • Data Visualization • graph visualization • graphconnect • property graph • tom sawyer
Big Data, Big Problems? Responsible Data Management in 2019
March 18, 2019
Explore: Big Data • Cambridge Analytica • compliance • data breach • data management • FTC
Mobile Experiences at Scale: 5-Minute Interview with James Gray
By Jocelyn Hoppa
March 1, 2019 3 mins read
“Literally within minutes or seconds, customers generate mobile device audiences at scale,” said James Gray, Director of Product for Big Data at Phunware. Phunware’s mobile applications platform allows some of the biggest brands in the world to deliver great mobile… Read more →
Explore: 5-minute interview • Big Data • geolocation data • graph database • Knowledge Graph • Mobile Applications • mobile experiences • mobile targeting • neo4j • Phunware
Leveraging Data Science Tools for Fraud Investigation
By Jocelyn Hoppa
February 6, 2019 13 mins read
Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →
Explore: Big Data • data science • fraud • Graph Visualizations • graphconnect • machine learning • natural language processing • predictive analytics • private investigator • structured data
Graph Algorithms in Neo4j: The Neo4j Graph Algorithms Library
By Jocelyn Hoppa
December 3, 2018 4 mins read
The Neo4j Graph Algorithms Library is used on your connected data to gain new insights more easily within Neo4j. These graph algorithms improve results from your graph data, for example by focusing on particular communities or favoring popular entities. This… Read more →
Explore: Big Data • Connected Data • cypher • data valence • graph algorithms • graph analysis • Graph Analytics • graph database • Network Science • statistical analysis
Flexible Data Pipelines: 5-Minute Interview with Pat Patterson, Technical Director, StreamSets
By Jocelyn Hoppa
November 23, 2018 2 mins read
“With Neo4j, we can run analyses across relationships. These analyses are not feasible or even possible when the data is spread out among different systems,” said Pat Patterson, Technical Director, StreamSets. In this week’s five-minute interview, we discuss how StreamSets… Read more →
Explore: 5-minute interview • Big Data • data pipelines • etl • graph technology • graphconnect • Master Data Management • neo4j • relational database • streaming data
Graph Algorithms in Neo4j: Connected Data & Graph Analysis
By Jocelyn Hoppa
October 15, 2018 5 mins read
Until recently, adopting graph analytics required significant expertise and determination, since tools and integrations were difficult and few knew how to apply graph algorithms to their quandaries and business challenges. It is our goal to help change this. We are… Read more →
Explore: Big Data • big data analysis • Connected Data • data valence • graph algorithms • graph analysis • Graph Analytics • graph database • Network Science • statistical analysis
Neo4j featured in 2018 Datanami Editor’s Choice for Best Operational Database
September 14, 2018
Explore: Big Data • datanami • neo4j
Neo4j featured in 2018 Datanami Reader’s Choice for Top Big Data Achievement
September 13, 2018
Explore: Big Data • datanami • neo4j
Datanami: Neo4j helps in easy handling of GDPR compliance strategies
September 12, 2018
Explore: Big Data • compliance • data • deadilne • GDPR • regulation
When Graph Meets Big Data: Obstacles and Opportunities for Visualization
By Jocelyn Hoppa
September 12, 2018 4 mins read
Love the buzzword or hate it, “big data” is an inescapable reality. Whether it’s for business intelligence or bioinformatics, recommendation engines or risk analysis, the volume, variety and velocity of data is only going to increase. Graph is an undeniably… Read more →
Explore: 3D graph • Big Data • Bioinformatics • Collab Graphs • graph visualization • graphconnect • Kineviz • Neo4j for the Enterprise • Recommendation Engines • VR data visualization
5 Ways to Tackle Big Graph Data with KeyLines and Neo4j
By Jocelyn Hoppa
September 11, 2018 6 mins read
Understanding big graph data requires two things: a robust graph database and a powerful graph visualization engine. That’s why hundreds of developers have combined Neo4j with the KeyLines graph visualization toolkit to create effective, interactive tools for exploring and making… Read more →
Explore: Big Data • cypher • data funnel • data management • data modeling • Data Visualization • graph analysis tools • graph database • graph visualization • Keylines
Taking the First Step: How to Lead a Local Neo4j GraphDB Meetup
By Jocelyn Hoppa
August 2, 2018 3 mins read
I discovered Neo4j and became instantly captivated. Finding something that made data make sense, was fun, approachable, and easier to learn, I read articles and white papers, watched videos online… but it wasn’t enough. I needed to connect, with people,… Read more →
Explore: Big Data • Connected Data • data science • fraud detection • graph algorithms • Graph Databases • graphitude • neo4j meetup • nodes • relationships