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LIBRA Lightweight Data Skew Mitigation in MapReduce Net Pku Edu Form

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it's not sufficient to just assemble a large number of machines to do a particular task you actually have to figure out how do i divide that task effectively across those multiple machines so a number of companies that built up data centers in the late 90s and early 2000s were facing this problem they had data centers they had lots of machines they had big jobs that they needed to do like building search indexes crawling the web but there was this question of how do i split those jobs up and what emerged out of that challenge was a programming model that was quite popular it's still in use today although i think we're starting to develop some more sophisticated alternatives but it's something known as map reduce and so i want to talk a little bit about mapreduce because it's a pretty important part of how search was done for a long time so mapreduce is a programming model it's a way of structuring your computation that allows it to easily be run on lots of machines so the way to think

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