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hi everyone i'm i doubt i'm working on totally got
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computers line yes and a specifically on designing sobbing yeah algorithms
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these are bad like any use for processing massive
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data sets because not be guitar coming from different sources
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such as a sign that sports video s. d. or
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sensor networks broadcast to the conjugate efficiency of classic algorithms
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in most of this interview was that you put these two large that it doesn't feed into a memory everything and mostly
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body challenge to parties and the data between different machines because of the communication button thing
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so make one you know me i thought about good yes and even
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sometimes you necktie mad good games become slow liked the whole thing is that
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we need a new set up that word is that can operate feet
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very constrained that the sources which is much smaller than the size of the
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that's what it is often maintain a small but accurate so i
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mean you just get up the data and computers solution based on that
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over the past decade sopping actually don't have received much
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attention and what i think is that is the got problems
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oh i bet my then it or not is this needs new techniques for as any more complex queries
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that usually costs on the inputs like not scraps or large matches
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for example you might want to approximate the cluster structure of a large graph
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or to maintain yes more somebody other dynamically updated graphic
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like what's to design a few cents obvious who stands for
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fundamental craft processing probably as central to my then data analysis
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that i thought might block include and assaulting your time
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had with them for understanding crossed the structure of crafts
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it's even at good old for data summarisation and fast is getting
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as good a photograph processing in dynamic just speeds there remain many
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i don't exciting that it says that about attack i would be