From the Neo4j Community: December 2015

The Neo4j community ended 2015 with a bunch of great articles, videos, presentations and new projects. Collectively, you published some great pieces on Ruby, .NET, Spring Data Neo4j, Star Wars, beer…and diapers. Below are some of our favorite pieces from… Learn 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,… Learn More →

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7 Ways Your Data Is Telling You It’s a Graph

Editor’s Note: Last October at GraphConnect San Francisco, Karen Lopez – Senior Project Manager at InfoAdvisors – delivered a presentation on how to tell when your data will be best served by a graph database. For more videos from GraphConnect… Learn More →

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How Walmart Uses Neo4j for Retail Competitive Advantage

In a little over 50 years, Walmart grew from a small, family-owned business to become the world’s largest public corporation, with over 2 million employees and annual revenues of $470 billion. But Walmart didn’t just become the world’s largest retailer… Learn More →

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From the Neo4j Community: November 2015

This past November has shown us why we’re so thankful for the Neo4j community. We’re especially grateful to all of you who published great articles about your projects, libraries and integrations with Neo4j on everything from Ruby on Rails and… Learn More →

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The Sustainable Competitive Advantage of Connected Data

As data sizes and customer expectations accelerate at lightning speed, how can your business achieve sustainable competitive advantage? By unlocking the value of data relationships – in both new and reimagined applications – your enterprise can easily improve performance, simplify… Learn More →

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The Competitive Advantage of Graph Databases in the Enterprise

“Big data” grows bigger every year, but today’s enterprise leaders don’t only need to manage larger volumes of data – they critically need to generate insight from their existing data. So how should CIOs and CTOs generate those insights? To… Learn More →

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Why You Should Build a Neo4j Graph as a Side Project

Editor’s Note: Graph Story is a Bronze sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Ed and other sponsors in person. When the topic of graph databases — specifically Neo4j — has come up in the IRC chatrooms… Learn More →

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The Future of Recommendation Engines: Graph-Aided Search

Editor’s Note: GraphAware is a Silver sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Michal and other sponsors in person. For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people… Learn More →

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Graph Databases in the Enterprise: Real-Time Recommendation Engines

Whether your enterprise operates in the retail, social, services or media sector, offering your users highly targeted, real-time recommendations is essential to maximizing customer value and staying competitive. Unlike other business data, recommendations must be inductive and contextual in order… Learn More →

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From the Neo4j Community: August 2015

As summer wraps up, it’s time to look back at all of the wonderful projects, articles, videos and slideshows published by the Neo4j community. Below are our top summer picks from graphistas all across the world. If you would like… Learn More →

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Slow SQL Queries Are Killing Your Recommendation Engine

In today’s fast-paced world, users won’t wait minutes for your recommendation engine to query the database. In fact, you’re lucky if they’re willing to wait more than a few seconds. The question is then: Is your relational database performing at… Learn More →

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The Database Model Showdown: An RDBMS vs. Graph Comparison

The recent proliferation of database technologies is a testament to the fact that relational databases are not the right tool for every job. Of course, they have their uses: Tabular data with a consistent structure and fixed schema is a… Learn More →

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Bootstrapping a Recommendation Engine with Neo4j [OSCON Preview]

Timely, relevant recommendations are the bedrock of business success. No matter whether your startup needs to generate social, retail, logistics or content recommendations, you need a recommendation engine that delivers those perfectly appropriate suggestions in real time. Since you’re trying… Learn More →

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