Tackling Complex Data with Neo4j

Posted by Ian Robinson  on  May 03, 2013

Ian Robinson discusses the complexity of highly connected data and how graph databases can help, illustrating the talk with practical examples implemented using Neo4j.

Runaway Complexity in Big Data, and a Plan to Stop It

Posted by Nathan Marz  on  Oct 25, 2012

Nathan Marz outlines several sources of complexity introduced in data systems - Lack of human fault-tolerance, Conflation of data and queries, Schemas done wrong - and what can be done to avoid them.

Breaking the Monolith

Posted by Stefan Tilkov  on  May 09, 2012 1

Stefan Tilkov suggests breaking a system into several subsystems, separating the micro and macro architecture, and addressing various integration issues in order to get a suppler architecture.

Architecture Without an End State

Posted by Michael Nygard  on  Apr 20, 2012 2

Michael Nygard outlines 8 rules for dealing with complex systems: Embrace Plurality, Contextualize Downstream, Beware Grandiosity, Decentralize, Isolate Failure Domains, Data Outlives Applications, Applications Outlive Integrations, Increase Discoverability.

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