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Archive for the ‘Customer Stories’ Category

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Neo4J Recommendation engine for movies

June 21, 2012 at 8:37 am PDT | Customer StoriesGraph DatabasesNeo4jRecommendation

This project is a basic tutorial to discover Neo4J and Cypher. It’s hosted on github. With this project, Florent Empis has built a Movie recommender using the Cypher query language. This query language has a very low barrier...

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Case Study: Neo4j in a .NET world

June 18, 2012 at 9:38 am PDT | Customer StoriesGraph DatabasesNeo4jVideo

This year, a small team of developers, led by Tatham Oddie at Readify,  delivered a ASP.NET MVC app, with a Neo4j backed, all running in Azure. This isn’t in POC; it’s a production system. Also,...

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Neo4j In Action
How much faster is a graph database, really?

June 15, 2012 at 4:37 pm PDT | Customer StoriesGraph DatabasesNeo4j

In their new book, Neo4j In Action, Jonas Partner and Aleksa Vukotic perform a fascinating experiment. In theory, a graph database should be much faster than a relational databases in graph traversal. For example, in...

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Opigram: OpenCredo discusses a social recommendation engine

June 15, 2012 at 8:22 am PDT | Customer StoriesGraph DatabasesNeo4jRecommendationSocialVideo

Nicki Watt of OpenCredo presents the lessons learned (and being learned) on an active Neo4j project: Opigram. Opigram is a socially oriented recommendation engine which is already live, with some 150k users and growing. The...

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Serious network analysis using Hadoop and Neo4j

June 14, 2012 at 4:48 pm PDT | Customer StoriesGraph DatabasesNeo4jVideo

Friso van Vollenhoven of Xebia uses a combination of Hadoop, Neo4j and browser based visualization and interactive tools to look at graphs, search for known interesting patterns in big graphs and do ad hoc querying...

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Network Inventory System with Neo4j

June 13, 2012 at 9:39 am PDT | Customer StoriesNeo4j

Neotropic details the database model and architecture of Kuwaiba, a network inventory system built with Neo4j. Details Kuwaiba provides an enterprise grade OSS (Operations and Support System) for network inventory in the context of IT...

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Graph Data in QlikView

June 12, 2012 at 8:44 am PDT | Customer StoriesGraph DatabasesNeo4j

The TIQView Blog shows using graph data in a business intelligence / business discovery solution like QlikView to do some more business related analytics. The result is an interactive QlikView analytics application where you can use a wide...

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Graphity: Retrieving the Top 10K News Feeds per second with Neo4j

June 11, 2012 at 9:52 am PDT | Customer StoriesNeo4jNewsVideo

René Pickhardt, Webscience PhD student, University of  Koblenz,  presented at FOSDEM 2012 Graphity, a system which dynamically retrieve more than 10,000 temporal ordered news feeds per second in social networks with millions of users like Facebook and...

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Stay tuned for Assimilation Monitoring Project

June 4, 2012 at 9:43 am PDT | Customer StoriesGraph DatabasesNews

Alan Robertson, ‘long-time geek and founder of Linux-HA project with interests in managing computers’, is taking systems management to a new depth with using very low overhead. With Continuous Stealth DiscoveryTM, Robertson is building a...

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Managing Highly Connected Data in Neo4j

May 30, 2012 at 8:00 am PDT | Customer StoriesGraph DatabasesNeo4jVideo

Jim Webber discusses how connected data is driving new classes of innovative applications and investigate the strengths and weaknesses of common NOSQL families for dealing handling it. The focus is on the characteristics of Neo4j...

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Neo4j Tales from the Trenches: A Recommendation Engine Case Study

May 29, 2012 at 8:00 am PDT | Customer StoriesGraph DatabasesNeo4jRecommendationVideo

Nicki Watt and Michal Bachman present the lessons learned (and being learned) on an active Neo4J project – Opigram. Opigram is a socially orientated recommendation engine which is already live, with some 150k users and...

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Erfahren Sie mehr zu Neo4j in der Praxis anhand einer Kundenanwendung

May 25, 2012 at 1:06 pm PDT | Customer StoriesGerman EditionNeo4jVideo

Was sind eigentlich Graphdatenbanken – Was war die spezifische Kundenanforderung – Wie hat Neo Technology zum Kundenerfolg beigetragen – Warum hatte Neo Technology die richtige Technologie für das Kundenprojekt.  

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Gaming Company Gamesys introduces Neo4j into a Relational Database Organization

May 24, 2012 at 8:43 am PDT | Customer StoriesFEATURED NEWSGraph DatabasesNeo4jVideo

Toby O’Rourke and Michael McCarthy present their experiences of introducing Neo4j into Gamesys, a relational database organization. Toby and Michael discuss How Neo4j stacked up against the competition: FlockDB, InfoGrid, DEX, and OrientDB The path...

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Neo4j Spatial — Geo Data for the Rest of Us

May 22, 2012 at 2:38 pm PDT | Customer StoriesGraph DatabasesNeo4jVideo

Compelling location-based services require more than simple “what’s near me?” operations. The Open Street Map dataset is a perfect example of a rich geographically-based wiki that can be used for much more than map rendering....

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Case Study Video: Fit Studio

May 21, 2012 at 6:08 pm PDT | Customer StoriesNeo4jVideo

Prasanna Pendse from ThoughtWorks discusses FitStudio, a social fitness website built with Ruby on Rails and Neo4j. With this real use case, you can learn the benefits of graph databases for building your own social...

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