Runaway complexity in Big Data... and a plan to stop it
This document discusses sources of complexity in big data systems and proposes a new design approach. Common sources of complexity include a lack of human fault tolerance, conflating data and queries, and schemas done wrong. The author proposes building data systems based on immutability, separating data storage from querying through precomputed views, and using batch processing to compute views p
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SE Radio 222: Nathan Marz on Real-Time Processing with Apache Storm – Software Engineering Radio
Real-time Analytics with Open Source Technologies
