Big Data, MapReduce, and the File Systems That Make It Work

Notes on Lecture 6: the only safe space here is HDFS replication with processing micro-batches, not microaggressions.

This article distills the core ideas from my lecture on big data distributed computing, including MapReduce, Google-style file systems, and Hadoop’s YARN. It keeps the good stuff like numbers, failure modes, and concrete examples, and trims the hand-waving. If you have ever kicked off a job and then watched your cluster flicker with tasks while you prayed nothing melted, this is for you.