Four Principles for Engineering Scalable, Big Data Systems
Software Engineering Institute (SEI) Podcast Series · Carnegie Mellon University Software Engineering Institute
September 11, 201420m 12s
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Show Notes
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.