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Data Modeling with Graphs
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| by Peter Bell Follow 0 Followers on Jan 30, 2013 |
47:04

Summary
Peter Bell presents several patterns for modeling and retrieving data from graph databases using Neo4j in his examples.

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Bio

Peter Bell was previously SVP Engineering and Senior Fellow at General Assembly. He has presented at DLD, OOPSLA, QCon, RubyNation, SpringOne2GX, Code Generation, Practical Product Lines, DevNexus, cf.Objective(), CF United, etc. He has been published in IEEE Software, Dr. Dobbs, IBM developerWorks, Information Week, Methods & Tools, Mashed Code, NFJS the Magazine and GroovyMag.

Neo4j is a robust (fully ACID) transactional property graph database. Due to its graph data model, Neo4j is highly agile and blazing fast. For connected data operations, Neo4j runs a thousand times faster than relational databases.

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