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 →
Keywords: Connected Data • cypher • data integration • Graph Analytics • graph database • graph technology • graphconnect • GraphTour • neo4j • Neo4j Community
The Evolution and Future of Graph Technology: Intelligent Systems
By Jocelyn Hoppa
December 14, 2018|Reading time: 5 minutes
The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to the latest version (and also the developments of other… Read more →
Keywords: ai • big data solution • GQL • graph database • graph query language • graph technology • Intelligent Systems • ML • neo4j • nlp • sql
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 →
Keywords: 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 →
Keywords: 5-minute interview • Connected Data • Denise Persson • Graph Data • graph database • graph technology • neo4j • Neo4j board • Silicon Valley • Snowflake
Evaluating Investor Performance Using Neo4j, GraphXR and ML
By Jocelyn Hoppa
December 6, 2018|Reading time: 6 minutes
[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →
Keywords: Data Visualization • graph database • graph filtering • graphical software • GraphXR • Kineviz • machine learning algorithm • machine learning analysis • neo4j • property graph
Neo4j Graph Database 3.5: Everything You Need to Know [GA Release]
By Bryce Merkl Sasaki
November 29, 2018|Reading time: 4 minutes
Speaking on behalf of the Neo4j team, I’m pleased to announce the immediate general availability of Neo4j Graph Database version 3.5 – in both Community and Enterprise Editions. Neo4j 3.5 improves the performance, utilization and security of the Neo4j Graph… Read more →
Keywords: cypher • DevOps • full-text indexing • full-text search • Go programming language • graph database • native graph database • neo4j • Neo4j 3.5 • TLS
#GraphCast: Intro to the APOC Utility Library
By Bryce Merkl Sasaki
November 25, 2018|Reading time: 1 minute
Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Managing Editor, Jocelyn Hoppa, unearthed the Graph Karaoke series (by the intrepid Rik Van Bruggen) from the… Read more →
Keywords: APOC • cypher • graph database • graph technology • GraphCast • neo4j • Neo4j Community • user-defined functions • user-defined procedures
Flexible Data Pipelines: 5-Minute Interview with Pat Patterson, Technical Director, StreamSets
By Jocelyn Hoppa
November 23, 2018|Reading time: 2 minutes
“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 →
Keywords: 5-minute interview • Big Data • data pipelines • etl • graph technology • graphconnect • Master Data Management • neo4j • relational database • streaming data
Journey Planning… And Why I Love Cypher
By Jocelyn Hoppa
November 21, 2018|Reading time: 7 minutes
Editor’s Note: This presentation was given by Adam Cowley at GraphConnect Europe in May 2017. Presentation Summary Adam Cowley wanted to create a door-to-door journey-planning tool with Cypher that would allow him to accurately map a trip via train, bus,… Read more →
Keywords: bus route • cypher • graph database • graph traversal • graphconnect • index free adjacency • journey planning • neo4j • train journey • trip planning
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 →
Keywords: Connected Data • data scientists • graph algorithms • Graph Analytics • graph platform • graph technology • native graph platform • neo4j • pathfinding • solution developers
Simplicity Wins: We’re Shifting to an Open Core Licensing Model for Neo4j Enterprise Edition
By Bryce Merkl Sasaki
November 15, 2018|Reading time: 2 minutes
TL;DR: Starting with Neo4j 3.5, Enterprise Edition source code will no longer be published to the open source commons, including future versions. This does not impact Neo4j Community Edition. We will continue to deliver the world’s best and most comprehensive… Read more →
Keywords: cypher • graph algorithms • graph database • graph technology • neo4j • Neo4j Community • Neo4j Desktop • Neo4j Graph Platform • open core • open source
Creating a Data Distribution Knowledge Base Using Neo4j
By Jocelyn Hoppa
November 14, 2018|Reading time: 10 minutes
Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users… Read more →
Keywords: data distribution platform • data insights • data lineage • graph database • graphconnect • knowledge base • metadata • neo4j • reference data • UBS
Graph Databases for Beginners: ACID vs. BASE Explained
By Bryce Merkl Sasaki
November 13, 2018|Reading time: 4 minutes
When it comes to NoSQL databases, data consistency models can sometimes be strikingly different than those used by relational databases (as well as quite different from other NoSQL stores). The two most common consistency models are known by the acronyms… Read more →
Keywords: ACID • aggregate stores • base • consistency model • data consistency • graph database • neo4j • nosql • nosql database • relational database
#GraphCast: Graph Karaoke Featuring The Knife’s “Heartbeat”
By Jocelyn Hoppa
November 11, 2018|Reading time: 1 minute
Welcome to our new biweekly Sunday series, #GraphCast, which aims to unearth digestible, notable and just plain fun Neo4j YouTube videos (of which there are a lot). Whether we focus on some of our most popular videos or highlight a… Read more →
Keywords: graph karaoke • graph technology • GraphCast • neo4j
This Week in Neo4j – Graph Modeling Tips, Full-Text Search Preview, Building a Graph App
By Mark Needham
November 10, 2018|Reading time: 5 minutes
Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. I found some excellent material including graph modeling tips from Max and Michael Simons, computing graph embeddings,… Read more →
Keywords: graph embedding • graphileon • neo4j • nlp • Tableau Data Extract • twin4j
How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]
By Jocelyn Hoppa
November 8, 2018|Reading time: 1 minute
“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →
Keywords: business rules • collaborative filtering • financial services • government services • graph platform • graph technology • Healthcare • knowledge-based filtering • neo4j • real-time recommendations
This Week in Neo4j – $80 Million Series E, New Neo4j Monitoring Tool, Cyber Attack Graphs, Spring Data Neo4j Tutorial
By Mark Needham
November 3, 2018|Reading time: 4 minutes
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have Neo4j’s $80 Million Series E, Cyber Attack Graphs, an interview with the… Read more →
Keywords: Cyber Attacks • GraphAware Hume • GraphQL • Halin • monitoring • neo4j • py2neo • python • Series E Funding • twin4j
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 →
Keywords: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
If You Build It They Will Come: Starting a GraphDB Meetup Where There Is None
By Jocelyn Hoppa
October 30, 2018|Reading time: 4 minutes
About seven years ago, I came across Neo4j while trying to find a way to visually represent stored information and make connections like the human brain does. At the time, I only really needed to build an awesome recommendation engine… Read more →
Keywords: DataPhilly • Graph Databases • graph technology • GraphDB meetup • neo4j • nosql
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 →
Keywords: Connected Data • Gartner • graph algorithms • graph analysis • Graph Analytics • graph database • graph models • Graph Theory • neo4j • Network Science
Decyphering Your Graph Model
By Jocelyn Hoppa
October 17, 2018|Reading time: 7 minutes
Editor’s Note: This presentation was given by Dom Davis at GraphConnect Europe in May 2017. Presentation Summary Graphs really are everywhere, and building your graph database model from the highest possible vantage point using natural language – and the language… Read more →
Keywords: configuration management database • cypher • graph database • graph database model • graph model • graphconnect • natural language model • neo4j • property graph • relational database
Effective Internal Risk Models for FRTB Compliance: Risk Management with Neo4j [Infographic]
By Jocelyn Hoppa
October 8, 2018|Reading time: 1 minute
In this series on the FRTB, we delved into what is required for effective internal risk models using a graph database like Neo4j. In previous weeks, we looked at the requirements of FRTB compliance and the relationship between risk modeling… Read more →
Keywords: data lineage • data silos • frtb compliance • FRTB Risk Management • graph database • investment risk • neo4j • risk assessment • trace risk data lineage • trading desks
Custom Visualization Solutions: Getting the Most Out of Your Data
By Jocelyn Hoppa
September 18, 2018|Reading time: 6 minutes
Neo4j is perfect for storing and processing large amounts of connected data. For example, in web analytics, where click-paths and custom events get logged, it is easy to get that data into Neo4j. Once the data is in the graph… Read more →
Keywords: Connected Data • cypher • Data Visualization • diagram data • diagram visualization • graph database • graphconnect • neo4j • Recommendation Engines • yFiles
This Week in Neo4j – Recommendations with Personalized PageRank, Solving the bucket-filling problem, Deep Text Understanding
By Mark Needham
September 15, 2018|Reading time: 5 minutes
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have recommendations with Personalized PageRank, Solving the bucket-filling problem, Deep Text Understanding, a… Read more →
Keywords: AWS • GraphConnect 2018 • GraphQL • neo4j • Neo4j Bloom • open data • Personalized PageRank • shortest path • twin4j
Powering Recommendations with a Graph Database: A Rapid Retail Example
By Jocelyn Hoppa
September 3, 2018|Reading time: 5 minutes
It’s one thing to say that Neo4j streamlines real-time recommendations; it’s another to show you the code so you can see for yourself. In this series, we discuss how real-time recommendations support a number of different use cases, from product… Read more →
Keywords: cypher • entity-relationship diagram • facebook • graph database • graph technology • neo4j • real-time recommendations • Recommendations • Retail Recommendations • schema
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