Four Principles for Engineering Scalable, Big Data Systems Software Engineering Institute (SEI) Podcast Series
-
- Technology
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.
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.
20 min
Top Podcasts In Technology
More by Carnegie Mellon University
Software Engineering Institute (SEI) Podcast Series
Members of Technical Staff at the Software Engineering Institute
Software Engineering Institute (SEI) Webcast Series
SEI Members of Technical Staff
Make It Real
CMU Engineering
SEI Shorts
Members of Technical Staff at the Software Engineering Institute
SEI Cyber Talks
Members of Technical Staff