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1、ProceedingsoftheThirdInternationalConferenceonElectronicsandSoftwareScience(ICESS2017),Takamatsu,Japan,2017SurveyonOpenSourceFrameworksforBigDataAnalyticsChao-HsuChenandChien-LungHsuDepartmentofInformationManagement,ChangGungUniversity,No.259,Wenhua1stRd.,GuishanDist.,T
2、aoyuanCity33302,TaiwanE-mail:M0345208@stmail.cgu.edu.tw,clhsu@mail.cgu.edu.twKuo-YuTsaiDepartmentofAppliedMathematics,ChineseCultureUniversity,No.55,Hwa-KangRoad,Yang-Ming-Shan,Taipei11114,TaiwanE-mail:cgy13@ulive.pccu.edu.twABSTRACTapplications[11,12].Theydocantakeadva
3、ntageoftheirhugecorporatedatatoThemaincontributionofthisstudyistoprovideamakebusinessstrategiesfaster,moreefficient,feasibleopensourcebigdataframeworkandreducingtheresourcesandtime-consuming,comparisonofcharacteristicsofmodulesuponandthusenhancetheircompetitiveness.Inth
4、edifferentlayerssothatwheneverbigdataconstructionofacompletebigdataprocessingtechnologiesisessentialforindustriesapplications,usuallyindatacollection,andbusinessapplicationstodeploywith.Instorage,management,processing,renderingaccordwithcomparisontosuccessfulmodels,visu
5、alization,privacycontrol,businessmodelopensourcebigdataframeworkandmoduleswithdifferentcharacteristiccanbequicklyreferredtoandothersectors,itneedsexpertsandandadopted.Baseduponthisstudy,wecanexpertisetoresolve.Therefore,data,domaindevelopspecificopensourcebigdataframewo
6、rkexpertandcommunicationspecialistsalsoandmodulesfordifferentindustriesinfuture.appearstoplayanimportantroleinbigdataera.KEYWORDSBigdatahasevolvedthroughvolume,variety,OpenSource,BigData,Frameworkvelocity,3V[13]tovolume,variety,velocity,value,veracity,5V[14]inbigdataana
7、lysis1INTRODUCTIONcapabilities.Manycompanieshavefacedone-dayamountofdataatarateoftens,Tothehugeamountofgrowingdata,Googlehundreds,fromTB(terabyte)increasestoPBhasdevelopedGoogleFileSystem[1]and(petabyte)level,sothatthetraditionalMapReduce[2]andalsodevelopedavarietydatab
8、asebecomesdifficulttohandletheofopen-sourcesoftwaresystem.Thisleadstoamountofdatawhereasvolumeisanthedevelopme
