Four Principles for Engineering Scalable, Big Data Systems

from Software Engineering Institute (SEI) Podcast Series

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. Listen on Apple Podcasts.

Episode metadata supplied by the publisher feed · Published Sep 11, 2014

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This episode was published on September 11, 2014.

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