Forf me,f BIGf DATAf meansf money.f Itf mayf soundf sof direct,f butf thatf isf
true.f Onef mayf ask,f how?f Itf meansf anf increasef inf thef organizationalf
Returnf onf Investmentf (ROI)f iff thef organizationf canf affordf thef
platform.f Also,f whenf thef organizationf canf affordf af bigf dataf system,f itf
requiresf moneyf tof maintainf thef storagef andf expertsf requiredf tof
managef thef platforms.f Asf thef trendf goes,f thatf dataf isf thef newf oil,f
everyf organizationf wantsf tof playf inf thef bigf dataf league.f Differentf
kindsf off dataf sources,f suchf asf socialf mediaf (Facebook,f Instagram,f andf
sof on)f aref availablef forf organizationsf tof drawf fromf whilef makingf af
businessf decision.f Tof somef bigf dataf meansf exactlyf whatf thef namef
suggests,f “Bigf Data”,f whilef tof othersf itf meansf somethingf different.f
Forf example,f “Popef etf al.f (2014),f thesef aref largef andf complexf digitalf
datasetsf thatf typicallyf requiref nonstandardf computationalf facilitiesf
forf storage,f management,f andf analysis”,f (asf citedf byf Aytas,f 2021).f
Goingf byf Pope'sf definition,f bigf dataf requiresf specialf computation,f
storage,f management,f andf analysis.f Whatf doesf thisf mean,f andf whyf
willf anyf organizationf bef interestedf orf investf inf gatheringf suchf largef
andf complexf digitalf datasets?f Thef onlyf reasonf thatf comesf tof mindf isf
money,f If meanf theref isf gainf collecting,f storing,f managing,f analyzing,f
andf applyingf thesef digitalf datasets.
Havingf mentionedf thatf bigf dataf requiref nonstandardf computationalf
facilitiesf forf storage,f management,f andf analysis.f “Nonstandard”f couldf
meanf af specialf approachf suchf asf artificialf intelligencef (AI).f AIf requiresf
largef dataf tof learnf andf perfectf thef outcomef off anyf analysis.f Bigf dataf
andf AIf aref mutuallyf related.f Asf AIf leveragesf thef avalanchef off dataf
withinf bigf data,f bigf dataf inf returnf workf withf AIf tof achievef more.f Theyf
bothf completef eachf other.
Thef rolesf off bigf dataf inf thef industryf andf thef societyf atf large,f cannotf
bef over-emphasized.f Industriesf (organizations)f andf thef entiref societyf
wantf tof improvef theirf businessf andf minimizef riskf andf losses.f
Therefore,f thef analyticsf off bigf dataf helpsf industriesf tof identifyf newf
opportunitiesf andf risks.f Asf theyf harnessf thesef opportunitiesf suchf asf
higherf profitsf andf betterf customerf relations,f then,f onf thef otherf hand,f
identifyf andf avoidf (orf minimize)f risksf suchf asf potentialf fraudf orf badf
credits.f Forf thef societyf atf large,f goodf analyticsf off bigf dataf willf providef
insights,f helpf inf policymaking,f discoverf trends,f createf jobs,f minimizef
waste,f andf improvef productivity.f Usingf CDCf asf anf example,f differentf
kindsf off guidancef havef beenf providedf forf thef massesf tof follow,f
duringf thisf COVID-19f pandemic.
Presently,f thef ITf industriesf havef beenf movingf onf af veryf fastf trend,f
andf thef directionf isf towardsf thef maximizationf off dataf (bigf data).f Asf af
youngf person,f whof plannedf tof stillf bef usefulf andf makef anf impactf inf
society,f If becamef interestedf inf thef learningf off bigf dataf techniques.f
Thef futuref businessf revolvesf all-aroundf dataf andf thef analysisf off data.f
Thisf hasf beenf myf motivationf forf learningf bigf dataf techniques.
Hadoopf isf thef platformf forf bigf data.f Rememberf howf Popef andf friendsf
describedf bigf data,f asf largef andf complexf digitalf datasetsf thatf typicallyf
requiref nonstandardf computationalf facilitiesf forf storage,f
management,f andf analysis.f Asf theref wasf nof traditionalf commerciallyf
availablef softwaref tof processf largef setsf off data,f Hadoopf becamef thef
toolf forf processingf Bigf Data,f (Aytas,f 2021).f Hadoopf hasf af specialf
featuref off handlingf anyf failuref automatically,f inf hardwaref thatf isf
pronef tof fail.
Thef termf bigf dataf isf moref popularf thanf thef actualf meaning.f Tof manyf
ordinaryf people,f bigf dataf isf justf toof muchf dataf andf nothingf more.f If
wouldf lovef tof seef clarifications,f teachings,f andf awarenessf off thisf
greatf fieldf off studyf becausef thef futuref isf highlyf dependentf onf dataf
andf itsf analysis.
References:
Aytas,f Y.f (Julyf 2021),f
Designingf Digf Dataf Platforms:f Howf tof Use,f
Deploy,f andf Maintainf Bigf Dataf Systems
.f Retrievedf fromf
https://learning.oreilly.com/library/view/designing-big-
data/9781119690924/
