InfoQ Homepage Neo Content on InfoQ
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How Developers Can Treat Ovarian Cancer
Mridula Jayaraman shares from her experience developing a next generation sequencing solution used to customize cancer treatment based on patient's genetic makeup.
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Working with Databases and Groovy
Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.
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How a Graph Database Allows Shutl to Deliver Even Faster
Volker Pacher explains why Shutl chose Neo4j when faced with the need of building a new API meant to support business growth, the challenges met during implementation and solutions applied.
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Tackling Complex Data with Neo4j
Ian Robinson discusses the complexity of highly connected data and how graph databases can help, illustrating the talk with practical examples implemented using Neo4j.
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Grails Goes Graph
Stefan Armbruster discusses building a Grails application with a graph data store based on Neo4j and sharing insight based on his own experience using such a system in production.
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A Little Graph Theory for the Busy Developer
Jim Webber explores graph data analytic techniques using social graph properties inspired by anthropology and sociology, extracting online business intelligence from graph matching.
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Data Modeling with Graphs
Peter Bell presents several patterns for modeling and retrieving data from graph databases using Neo4j in his examples.
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Ten Reasons Why You Should Use a Graph Database For Your CMS
Axel Morgner compares different open source CMS’s and outlines the benefits of implementing one using a graph database.
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Spring Data - NoSQL - No Problems...
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
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An Introduction to Doctor Who (and Neo4j)
Ian Robinson introduces Neo4J, a graph database, discussing how it can be used to store and work with data associated with Doctor Who.
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Introduction to Spring Data Neo4j
Michael Hunger discusses graph databases and the need for them in the larger context of NoSQL data stores, introducing Spring Data, Neo4j, and Spring Data Neo4j.
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Using A Graph Database To Power The “Web of Things”
Rick Bullotta and Emil Eifrem discuss how to use graph databases to model the real world, people, systems and things, talking advantage of the relationships between various data elements.