This Week in Neo4j – Deep Learning on Graphs, Go Driver Released, Improved Azure Cloud support
By Mark Needham
November 17, 2018|
Reading time: 4 minutes
Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week we had an exciting presentation by Andrew Jefferson about Deep Learning on Graphs as part… Read more →
Keywords: Azure marketplace • decision trees • deep learning • FOSDEM • Golang • graph algorithms • lightning network • twin4j
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 →
Keywords: Connected Data • data analysis • data modeling • fraud detection • graph algorithms • graph database • graph technology • machine learning • money laundering • social media networks
Simplicity Wins: We’re Shifting to a 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
Graph Algorithms in Neo4j: Graph Technology & AI Applications
By Jocelyn Hoppa
November 12, 2018|
Reading time: 3 minutes
Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases. This blog series is designed to help you better leverage… Read more →
Keywords: ai • artificial intelligence • graph algorithms • Graph Analytics • graph platform • graph technology • Graph Visualizations • Knowledge Graph • machine learning • PageRank
#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
FOSDEM 2019: Join Us in the Graph Developer Room!
By Michael Hunger, Developer Relations
November 9, 2018|
Reading time: 2 minutes
Like every year, the fall conference season is in full swing when we’re already preparing for the next batch of conferences in spring 2019. We’re happy to announce that the graph processing and graph database developer room was accepted again… Read more →
Keywords: data science • FOSDEM • Graph Analytics • Graph Databases • graph processing • graph query language • graph visualization • Internet of Things • natural language processing • Neo4j Community
New Features, Now: 5-Minute Interview with Mark Hashimoto, Senior Director of Engineering, Digital Home at Comcast
By Jocelyn Hoppa
|
Reading time: 3 minutes
“One of the most surprising things I’ve seen with Neo4j is the speed at which we’re able to innovate and deliver features to our customers,” said Mark Hashimoto, Senior Director of Engineering, Digital Home at Comcast. In this week’s five-minute… Read more →
Keywords: 5-minute interview • Comcast • data fabric • digital home • graph data model • Graph Databases • graph technology • graphconnect • IoT • Universal Studios • XFINITY
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
Xfinity xFi & User Personalization with Graphs
By Jocelyn Hoppa
November 7, 2018|
Reading time: 2 minutes
Editor’s Note: This presentation was given by Jessica Lowing at GraphConnect New York in September 2017. Presentation Summary We’ve come a long way towards making our homes smarter – but we still have a long way to go. Many of… Read more →
Keywords: Comcast • connected home • graphconnect • GraphQL • native graph database • profile graph • semantic relationships • smart home • User Personalization • XFINITY xFi
Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics
By Jocelyn Hoppa
November 5, 2018|
Reading time: 4 minutes
Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →
Keywords: ai • customer 360 • eBay ShopBot • fraud detection • graph algorithms • Graph Analytics • identity and access management • Network Monitoring • real-time recommendations • Social Networks
How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware
By Jocelyn Hoppa
November 2, 2018|
Reading time: 4 minutes
“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →
Keywords: 5-minute interview • data model • fraud detection • graph algorithms • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine • textual data
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
Graphs in Time and Space: A Visual Example
By Jocelyn Hoppa
October 31, 2018|
Reading time: 7 minutes
Editor’s Note: This presentation was given by Dan Williams at GraphConnect Europe in May 2017. Presentation Summary Graph databases are helping to solve some of today’s most pressing challenges. From managing critical infrastructure and understanding cyber threats to detecting fraud,… Read more →
Keywords: Cambridge Intelligence • data insights • Data Visualization • graph data visualization • graph database • graph topology • graph visualization • graphconnect • Keylines
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 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 →
Keywords: ai • Connected Data • eBay • google • graph algorithms • Graph Analytics • graph database • Graph Theory • linkedin • machine learning • Uber
Interchangeable Parts: 5-Minute Interview with Preston Hendrickson, Principal Systems Analyst at CALIBRE
By Jocelyn Hoppa
October 26, 2018|
Reading time: 3 minutes
“It’s easy to teach people to use Neo4j. It’s hands-on training, not death by PowerPoint,” said Preston Hendrickson, Principal Systems Analyst at CALIBRE. CALIBRE works with large government customers, including the U.S. Army, where maintenance, operation and support costs of… Read more →
Keywords: 5-minute interview • data retrieval • data science • dynamic SQL • Graph Databases • nosql • python • rdbms • recursive SQL • sql queries
Graph Databases for Beginners: Why We Need NoSQL Databases
By Bryce Merkl Sasaki
October 25, 2018|
Reading time: 6 minutes
NoSQL databases are one of those things in life that are unhelpfully defined only by what they are not rather than by what they are, i.e., an anti-definition. NoSQL is a cheeky acronym for Not Only SQL – or more… Read more →
Keywords: aggregate store • data model • data valence • data variety • data velocity • data volume • nosql • nosql database • relational database • sql
NLP at Scale for Maintenance and Supply Chain Management
By Jocelyn Hoppa
October 24, 2018|
Reading time: 14 minutes
Editor’s Note: This presentation was given by Ryan Chandler at GraphConnect New York in October 2017. Presentation Summary Caterpillar is a 90-year-old company that manufactures large industrial machinery, including some autonomous vehicles. For the last decade, the company has been… Read more →
Keywords: artificial intelligence • Caterpillar • cypher • graph database • graph query • graphconnect • knowledge representation • machine learning • natural language processing • supply chain management
5 Noteworthy Use Cases of Graph Technology and Graph Analytics
By Jocelyn Hoppa
October 23, 2018|
Reading time: 4 minutes
When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →
Keywords: fraud detection • Graph Analytics • graph database • graph technology • Graph Theory • identity access management • machine learning • regulatory compliance • Relational Databases • supply chain
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
Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI
By Jocelyn Hoppa
October 19, 2018|
Reading time: 4 minutes
We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →
Keywords: 5-minute interview • ai • dynamic pricing • graph algorithms • graph database • graph technology • machine learning • Master Data Management • nosql • Recommendation Engine
Why You Should Start Thinking About Your Organization as a Graph
By Jocelyn Hoppa
October 18, 2018|
Reading time: 5 minutes
Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database… Read more →
Keywords: connected dataset • corporate knowledge • Graph Databases • GraphAware • Hume • issue-tracking systems • javascript • Knowledge Graph • microservices • software development
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
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