MapReduce is one of the most important algorithm types in big data. Perhaps its biggest draw is the fact that it can be massively distributed across commodity hardware to crunch massive amounts of data. This puts super computing in the hands of those without specialized parallel hardware. In a very basic example for a Hadoop class I did, I implemented a basic MapReduce simulator in Mathematica in order to illustrate how MapReduce works. I also got some extra credit for it, as well.
Sunday, September 30, 2018
My High School Home Lab Is A Mess
I went home this weekend and I got a chance to work with my really janky homelab set up. Since I don't really have a whole lot to write about this month, I figured I'd take a anecdotal trip down memory lane for a blog post and document this this atrocity somewhere and begin to talk about how horrible this set up was.
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