Us­ing Big Data An­a­lyt­ics to Pro­duce High Qual­ity Big Data Stor­age

With so much data avail­able, us­ing big data an­a­lyt­ics can help con­trol prod­uct qual­ity and trou­bleshoot is­sues as quickly as pos­si­ble

Dataquest - - INDUSTRY -

The preser­va­tion of hu­man knowl­edge is of para­mount im­por­tance to progress, now and in the fu­ture. And be­cause the vast ma­jor­ity of new data is stored dig­i­tally, the need for re­li­able dig­i­tal stor­age is greater than ever. The chal­lenge to­day is en­sur­ing that the drives mass-pro­duced by the stor­age in­dus­try in or­der to keep up with the ever-grow­ing need for data stor­age are man­u­fac­tured ac­cord­ing to the high­est stan­dards of qual­ity. The so­lu­tion to that chal­lenge may lie in a rel­a­tively new but fast-grow­ing field known as big data an­a­lyt­ics.

The need for re­li­able data stor­age is par­tic­u­larly ur­gent in light of the fact that the amount of data stored ev­ery year is in­creas­ing rapidly. In­deed, much more data 60 www.dqin­ is gen­er­ated than is ac­tu­ally stored. For ex­am­ple, CERN gen­er­ates close to a petabyte of data ev­ery sec­ond while par­ti­cles fired around the Large Hadron Col­lider at ve­loc­i­ties ap­proach­ing the speed of light are smashed to­gether. But CERN can only store ap­prox­i­mately 25 PB of this data ev­ery year—equiv­a­lent to about 8,333 full 3 TB hard disk drives.

When a disk drive is man­u­fac­tured it acts as an in­tel­li­gent sen­sor that is aware of its own health and qual­ity, and it stores its own sen­sor logs. These drives are tested for many days, and dur­ing that time, they might gen­er­ate megabytes of test, di­ag­nos­tic, and con­fig­u­ra­tion data—as many as a1,000 vari­ables logged for each drive. In ad­di­tion, in­for­ma­tion is col­lected about ev­ery im­por­tant

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