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Four Principles for Engineering Scalable, Big Data Systems
Software Engineering Institute (SEI) Podcast Series
English - September 11, 2014 17:00 - 20 minutes - 18.5 MB - ★★★★★ - 18 ratingsTechnology Science futuretech softwareengineering cybersecurity Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: An Appraisal of Systems Engineering: Defense v. Non-Defense
Next Episode: Agile Metrics
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.