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10 Tips for a Successful Graph Data Science Project
Are you wondering how you can get started with graph data science (GDS)? In this blog post, we’re going to give you 10 project tips and some resources to guide you from the beginning of your graph...
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Best Practices to Make (Very) Large Updates in Neo4j
Editor’s Note: This presentation was given by Fanghua Joshua Yu at NODES 2019. Presentation Summary Fanghua Joshua Yu, Neo4j Pre-Sales & Field Engineer answers an age old question in his NODES 2019...
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The Top 7 Neo4j Webinars of 2020
We spent a lot of time in front of our screens in 2020. (Glad I turned off that iPhone “Screen Time Weekly Report” in July!) Fortunately, even though we were stuck in our homes for most of the year,...
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11 Awesome Neo4j Blogs from 2020
The great thing about running the Neo4j blog is that there is NO lack of things to talk about. The world of graphs is a treasure trove of use cases, announcements, bona fide news items, community...
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20 NODES 2020 Talks You May Have Missed
NODES 2020 has rightly been called “the Woodstock of graphs.” With 73 great talks and 6 parallel tracks, there was no way to take it all in. First off, a must-watch is Emil’s keynote, which features a...
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A Year in Review: Neo4j’s Top 9 Biggest News & Announcements of 2020
2020 provided to be a year like no other – wouldn’t you agree? Nothing explains this more than supply chain woes like no toilet paper in stores! (There’s even a graph example for that!) Despite the...
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21 Reading Recommendations for 2021
We love books. In that spirit, here are 21 reading recommendations for 2021, broken into 3 groups of 7 (you’re welcome). 7 Books for Fun and Learning Friend of a Friend by David Burkus In Friend of a...
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Your Roadmap for an Enterprise Graph Strategy
Presentation Summary Every day, people consider bringing graphs into their businesses. They want to know how to win at this conversation and move their business forward. In this presentation, Michael...
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Neo4j Data Integration Pipeline Using Snakemake and Docker
For around five years, the MRC Integrative Epidemiology Unit at the University of Bristol has been using Neo4j for the Data Mining Epidemiological Relationships programme in a variety of projects,...
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Graph Data Platforms: Collections vs. Connections
You may have heard that graph database technology underpins the latest in machine learning and AI. But what are graph data platforms and why are they rapidly becoming the first choice for application...
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Mapping IoT to the Graph: 5-Minute Interview with Per Gyllstrom
“If you think about IoT and the hierarchical structure of how IoT works, it’s a natural mapping to a graph database. We previously used relational databases, but in a graph, all the relationships are...
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Top 10 Graph Database Use Cases: Fraud Detection
Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model...
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Driving Innovation and Powering Advanced Analytics with Neo4j
Neerav Vyas is the Head of Analytics at Realogy Holdings Corp. As an economist and a Neo4j user, he helps clients with graph analytics. In this presentation, Vyas illustrates how the journey of real...
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#GraphCast: Using Graph Theory to Find the Number of Marvel Watch Orders
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Content and Media Associate, Allison Wu, shared a GOTO Book...
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Top 10 Use Cases: Real-Time Recommendations
Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model...
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Introducing Neo4j Aura Enterprise [GA Release]
If you’ve spent some time getting to know Neo4j, then you know one of our ongoing adages is “graphs are everywhere.” It’s true. Graphs are increasingly ubiquitous in intelligent applications, with...
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Exploring Graphs with BearingPoint: The 5-Minute Interview
“Today’s 5-minute interview is with a three-person team from BearingPoint: Gideon Pappie, data and analytics consultant; Nathan Meibergen, senior analytics consultant; and Sanne Legtenberg, business...
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Top 10 Use Cases: Knowledge Graphs
Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model...
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#GraphCast: Follow the Money, Untangling Complex Fraud Networks with Emil Eifrem
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Managing Editor, Jessica Baumgardner, struck gold with this...
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Top 10 Use Cases: Anti-Money Laundering
Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model...
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