Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University
SEI Podcast Series
09/11/2014

Four Principles for Engineering Scalable, Big Data Systems

Ian Gorton as interviewed by Suzanne Miller

Summary

In this podcast, Ian Gorton describes four general principles that hold for any scalable, big data system. These principles can help architects continually validate major design decisions across development iterations, and hence provide a guide through the complex collection of design trade-offs all big data systems require. 

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Categories: Software Architecture

About the Speakers

Ian Gorton

In his work at the SEI, Ian Gorton investigates issues related to software architecture at scale. This includes designing large-scale data management and analytic systems and understanding the inherent connections and tensions among software, data, and deployment architectures in cloud-based systems.