Graph Data Platforms: From a Napkin Sketch to a Category Leader

Learn about Neo4j’s evolution to being named a leading Graph Data Platform by Forrester Research in their recent report.

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Being in Control and Staying Agile with Graph Requires Shifting Left at ING

Stay agile and in control with graph, which requires shifting left and designing architecture that eliminates migrations and ensures consistency.

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Creating an Intelligent Recommendation Framework

Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.

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Visualizing This Week in Tech

Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.

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Graph Algorithms in Neo4j: Graph Algorithms in Practice

Graph analytics have value only if you have the skills to use them and if they can quickly deliver the insights you need. This blog provides a hands-on example using Neo4j on data from Yelp’s Annual Dataset challenge. Graph algorithms… Read more →

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Vampire Express: Graphing a Classic ’80s Choose Your Own Adventure Story

Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →

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Decyphering Your Graph Model

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 →

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Graph Databases for Beginners: Data Modeling Pitfalls to Avoid

With the advent of graph database technology, data modeling has become accessible to masses. Mapping business needs into a well-defined structure for data storage and organization has made a sortie du temple (of sorts) from the realm of the well-educated… Read more →

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Machine Learning on Graphs: 5-Minute Interview with Ajinkya Kale, Senior Applied Researcher at eBay

“Most people are not yet looking at graph databases from a machine-learning point of view. All the inherent knowledge we as humans use to make decisions can be encoded in a graph structure,” said Ajinkya Kale, Senior Applied Researcher at… Read more →

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Connecting the Tech Stack: 5-Minute Interview with Tim Ward, CEO at CluedIn

“Connected data is always more interesting than disconnected data, especially when you’re wanting to do something like we do,” said Tim Ward, CEO at CluedIn. For Tim, it’s all about flexibility, scalability and resilience. As the CEO (and an engineer)… Read more →

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Detecting Fake News with Neo4j & KeyLines

Fake news is one of the more troubling trends of 2017. The term is liberally applied to discredit everything, from stories with perceived bias through to ‘alternative facts’ and downright lies. It has a warping effect on public opinion and… Read more →

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The 5-Minute Interview: Tom Zeppenfeldt, Founder of Graphileon

For this week’s 5-Minute Interview, I chatted with Tom Zeppenfeldt, Director and Founder at Graphileon in the Netherlands. Tom and I chatted this past summer about what’s new at Graphileon. Here’s what we covered: Tell us a bit about yourself… Read more →

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Analyzing the Panama Papers with Neo4j: Data Models, Queries & More

As the world has seen, the International Consortium of Investigative Journalists (ICIJ) has exposed highly connected networks of offshore tax structures used by the world’s richest elites. These structures were uncovered from leaked financial documents and were analyzed by the… Read more →

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3 RDBMS & Graph Database Deployment Strategies (Polyglot & More)

Whether you’re ready to move your entire legacy RDBMS into a graph database, you’re syncing databases for polyglot persistence or you’re just conducting a brief proof of concept, at some point you’ll want to bring a graph database into your… Read more →

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Non-Text Discovery with ConceptNet as a Neo4j Database [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] The Problem of Discovery Discovery, especially non-text discovery, is hard. When looking for a cool T-shirt,… Read more →

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How Backstory.io Uses Neo4j to Graph the News [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Backstory is a news exploration website I co-created with my friend Devin. The site automatically organizes… Read more →

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Graph Databases in the Enterprise: Graph-Based Search

Graph-based search is a new approach to data and digital asset management originally pioneered by Facebook and Google. Search powered by a graph database delivers relevant information that you may not have specifically asked for – offering a more proactive… Read more →

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5 Secrets to More Effective Neo4j 2.2 Query Tuning

Even in Neo4j with its high performance graph traversals, there are always queries that could and should be run faster – especially if your data is highly connected and if global pattern matches make even a single query account for… Read more →

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Interview: Monitor Network Interdependencies with Neo4j

[This article is excerpted from a white paper by EMA and is used with permission.] Traditional relational databases served the IT industry well in the past. Yet, in most deployments today they demand significant overhead and expert levels of administration… Read more →

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JCypher: Focus on Your Domain Model, Not How to Map It to the Database [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Software developers around the world spend a significant amount of their time struggling with database related… Read more →

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(March Madness) <-[:MADE_SANE_WITH]- (Neo4j)

March GRAPHness Download all the code needed to try it out for yourself HERE, or check out the GraphGist HERE. March madness is a rare concord of well-documented data and pop culture. Warren Buffet’s billion-dollar bet grabbed the interest of everyone from… Read more →

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Building a Python Web Application Using Flask and Neo4j

Flask, a popular Python web framework, has many tutorials available online which use an SQL database to store information about the website’s users and their activities. While SQL is a great tool for storing information such as usernames and passwords,… Read more →

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What Can Banks Learn from Online Dating

Neo4j Co-Founder and GraphConnect speaker discusses the role of Graph databases in the future of finance Originally posted on Wired.com Written by CEO of Neo Technology, Emil Eifrem At first glance, the idea that the banking or finance sector could… Read more →

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OSCON Twitter Graph

OSCON Twitter Graph As a part of Neo4j’s community engagement around OSCON, we wanted to look at the social media activity of the attendees on Twitter. Working with the Twitter Search API and searching for mentions of “OSCON”, we wanted… Read more →

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