摘要
Atpresent,itisprojectedthatabout4zettabytes(or10**21bytes)ofdigitaldataarebeinggeneratedperyearbyeverythingfromundergroundphysicsexperimentstoretailtransactionstosecuritycamerastoglobalpositioningsystems.IntheU.S.,majorresearchprogramsarebeingfundedtodealwithbigdatainallfivesectors(i.e.,services,manufacturing,construction,agricultureandmining)oftheeconomy.BigDataisatermappliedtodatasetswhosesizeisbeyondtheabilityofavailabletoolstoundertaketheiracquisition,access,analyticsand/orapplicationinareasonableamountoftime.WhereasTien(2003)forewarnedaboutthedatarich,informationpoor(DRIP)problemsthathavebeenpervasivesincetheadventoflarge-scaledatacollectionsorwarehouses,theDRIPconundrumhasbeensomewhatmitigatedbytheBigDataapproachwhichhasunleashedinformationinamannerthatcansupportinformed-yet,notnecessarilydefensibleorvalid-decisionsorchoices.Thus,bysomewhatovercomingdataqualityissueswithdataquantity,dataaccessrestrictionswithon-demandcloudcomputing,causativeanalysiswithcorrelativedataanalytics,andmodel-drivenwithevidence-drivenapplications,appropriateactionscanbeundertakenwiththeobtainedinformation.Newacquisition,access,analyticsandapplicationtechnologiesarebeingdevelopedtofurtherBigDataasitisbeingemployedtohelpresolvethe14grandchallenges(identifiedbytheNationalAcademyofEngineeringin2008),underpinthe10breakthroughtechnologies(compiledbytheMassachusettsInstituteofTechnologyin2013)andsupporttheThirdIndustrialRevolutionofmasscustomization.
出版日期
2013年02月12日（中国期刊网平台首次上网日期，不代表论文的发表时间）
