Back in ancient history (2004) Google's Jeff Dean and Sanjay Ghemawat presented their innovative idea for dealing with huge data sets — a novel idea called MapReduce.
Jeff and Sanjay presented that a typical cluster was made of hundreds to thousands of machines with 2 CPUs and 2-4 GB RAM each. They presented that in the whole of August 2004 Google processed ~3.3 PB of data in 29,423 jobs, i.e. an average job processed around 110GB of data.
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