Liberating Knowledge: Machine Learning Techniques with Neo4j
By Jocelyn Hoppa
July 3, 2019|Reading time: 13 minutes
Editor’s Note: This presentation was given by Rob Schley, Dr. Alessandro Negro and Christophe Willemsen at GraphConnect New York City in September 2018 Presentation Summary Following a brief philosophical background by Rob Schley, we dive into Hume’s core by exploring… Read more →
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|Reading time: 4 minutes
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 • spark
Neo4j Bloom 1.1: Simple, Powerful & Team Ready [Release]
By Bryce Merkl Sasaki
June 6, 2019|Reading time: 3 minutes
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|Reading time: 4 minutes
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|Reading time: 3 minutes
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 • spark
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|Reading time: 3 minutes
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|Reading time: 2 minutes
“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|Reading time: 4 minutes
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|Reading time: 3 minutes
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|Reading time: 3 minutes
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
#GraphCast: Bandersnatch Edition
By Jocelyn Hoppa
January 6, 2019|Reading time: 2 minutes
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, decided to get geeked on graph theory proof of Euler’s formula, which highlights… Read more →
Explore: Bandersnatch • complex workflows • Connected Data • decision trees • graph database • graph technology • Graph Theory • GraphCast • GraphConnect 2018 • neo4j • traversal
A Year in Review: Neo4j’s Biggest News & Announcements of 2018
By Bryce Merkl Sasaki
December 31, 2018|Reading time: 5 minutes
Whether you’re a brand-new graphista or an old-time vet, 2018 was a year that broke all records and expectations in the Neo4j ecosystem. In fact, some of our biggest news and announcements ever – as both a company and as… Read more →
Explore: CFO • Connected Data • cypher • Data Visualization • Denise Persson • GQL • graph query language • graphconnect • Graphs4Good • Kettle • Matt Casters • Mike Asher • Neo4j Bloom • Neo4j Community • opencypher
Announcing the Neo4j GraphTour in 8+ Cities Worldwide
By Bryce Merkl Sasaki
December 19, 2018|Reading time: 3 minutes
Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →
Explore: Connected Data • cypher • data integration • Graph Analytics • graph database • graph technology • graphconnect • GraphTour • neo4j • Neo4j Community
It’s High Time Neo4j Had a CFO – Here’s Who We Chose [Interview]
By Bryce Merkl Sasaki
December 13, 2018|Reading time: 8 minutes
Just yesterday, I got to announce the addition of Denise Persson – CMO at Snowflake – to the Neo4j Board of Directors. Today, I get to announce another incredibly important executive appointment: Mike Asher has joined Neo4j as our inaugural… Read more →
Explore: 5-minute interview • Amazon • CFO • Connected Data • Graph Databases • graph technology • Microsoft • Mike Asher • neo4j • Silicon Valley
Please Welcome Denise Persson – CMO at Snowflake – to the Neo4j Board [Interview]
By Bryce Merkl Sasaki
December 11, 2018|Reading time: 8 minutes
It is my pleasure to introduce the newest member of the Neo4j Board of Directors: Denise Persson. Denise is the Chief Marketing Officer at Snowflake Computing, one of the hottest companies in the data space – and like Neo4j, also… Read more →
Explore: 5-minute interview • Connected Data • Denise Persson • Graph Data • graph database • graph technology • neo4j • Neo4j board • Silicon Valley • Snowflake
Graph Algorithms in Neo4j: The Neo4j Graph Algorithms Library
By Jocelyn Hoppa
December 3, 2018|Reading time: 4 minutes
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
How to Exploit the 6 Relationships of Retail to Delight Your Customers [Infographic]
By Jocelyn Hoppa
November 30, 2018|Reading time: 1 minute
Retail opportunities are as big and dynamic as the industry has ever seen, and yet, knowing what to do or how to attack said opportunities is a bit more difficult to ascertain. U.S. retail sales per year are in the… Read more →
Explore: Connected Data • Graph Databases • graph technology • Retail • retail competitive advantage • retail opportunities
Graph Algorithms in Neo4j: Graph Algorithm Concepts
By Jocelyn Hoppa
November 26, 2018|Reading time: 4 minutes
According to Frost & Sullivan, “Graphs are one of the unifying themes of computer science – an abstract representation that describes the organization of transportation systems, human interactions and telecommunication networks. That so many different structures can be modeled using… Read more →
Explore: breadth-first search • Connected Data • depth-first search • graph algorithms • Graph Analytics • PageRank • traversal
Graph Algorithms in Neo4j: Neo4j Graph Analytics
By Jocelyn Hoppa
November 19, 2018|Reading time: 3 minutes
At a fundamental level, a native graph platform is required to make it easy to express relationships across many types of data elements. To succeed with connected data applications, you need to traverse these connections at speed, regardless of how… Read more →
Explore: Connected Data • data scientists • graph algorithms • Graph Analytics • graph platform • graph technology • native graph platform • neo4j • pathfinding • solution developers
Fraud Detection Using Graph Technology
By Jocelyn Hoppa
November 16, 2018|Reading time: 4 minutes
Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →
Explore: Connected Data • data analysis • data modeling • fraud detection • graph algorithms • graph database • graph technology • machine learning • money laundering • social media networks
We Just Closed the Largest Single Investment in the Graph Space. Now What?
By Bryce Merkl Sasaki
November 1, 2018|Reading time: 5 minutes
I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →
Explore: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
Graph Algorithms in Neo4j: The Rise of Graph Analytics
By Jocelyn Hoppa
October 29, 2018|Reading time: 4 minutes
According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →
Explore: ai • Connected Data • eBay • google • graph algorithms • Graph Analytics • graph database • Graph Theory • linkedin • machine learning • Uber
Graph Algorithms in Neo4j: The Power of Graph Analytics
By Jocelyn Hoppa
October 22, 2018|Reading time: 4 minutes
According to Gartner, “graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions.” Why did Gartner say this? Because graphs are the best structure for today’s complex and ever changing data, and if… Read more →
Explore: Connected Data • Gartner • graph algorithms • graph analysis • Graph Analytics • graph database • graph models • Graph Theory • neo4j • Network Science
Graph Algorithms in Neo4j: Connected Data & Graph Analysis
By Jocelyn Hoppa
October 15, 2018|Reading time: 5 minutes
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
Knowledge Graph Search with Elasticsearch and Neo4j
By Jocelyn Hoppa
October 9, 2018|Reading time: 17 minutes
Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →
Explore: Connected Data • ecommerce • elasticsearch • graphconnect • Knowledge Graph • machine learning • Master Data Management • natural language processing • Recommendation Engine
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