让商务智能成为主导

Click to edit Master title style,Click to edit Master text styles,Second level,Third level,Fourth level,Fifth level,4/25/2010,#,Let,BI,Drive,Let,BI,Drive,BI,A,vision,for,a,BI,Driven,World,In,2020,the,world,will,generate,50,times,the,amount,of,data,as,in,2011.,And,75,times,the,number,of,information,sources,(IDC,2011).,Let,BI,Drive,BI,A,vision,for,a,BI,Driven,World,Process,improvement,tools,filled,the,gap,in,moving,to,the,right,BI,Strategy.,Let,BI,Drive,BI,A,vision,for,a,BI,Driven,World,Process,improvement,tools,filled,the,gap,in,moving,to,the,right,BI,Strategy.,Let,BI,Drive,BI,A,vision,for,a,BI,Driven,World,We,strive,to,develop,BI,strategies,that,Harnesses,the,power,of,our,data,to,drive,our,business,with,the,touch,of,finger,and,brilliant,analysis.,CrossMobile“Pentaho,DRIVED,ISCOVER,R,EALIZE,I,NNOVATE,V,ERIFY,E,STABLISH,MongoDB,usefulin,routingtime,sensitive,information,thatcanbe,distributed,acrossservers,“BeansandLeaves“Tableau,Cloudera,SAP,GoogleAnalytics,DRIVED,ISCOVER,R,EALIZE,I,NNOVATE,V,ERIFY,E,STABLISH,CrossMobile“PentahoandHadoop,Oracle,DataWarehouse,CrossMobile“Pentaho,DRIVED,ISCOVER,R,EALIZE,I,NNOVATE,V,ERIFY,E,STABLISH,SAP,Datawarehouse,Solutions,LeanSixSigmaToolsandTechniques,LeanSixSigmaTool(s),LSS,BI,BusinessIntelligenceTool(s),BusinessIntelligenceToolsandTechniques,LSSandBIcomestogetherbecausetheadvent,ofBigDatatoolscreatesanopportunityto,controltheflowofdataforbetterinsight.,Canthesolutioneasily,withstandchange?,BusinessIntelligenceToolsandTechniques,BusinessIntelligenceisawideterm,weareusingittodescribea,strategythatbringstogethertherighttoolstopushandpull,yourdatathroughstreamlinedprocessesandletthebusiness,stayalignedwiththeneedsofthecustomer.Wearealsopushing,adashboarddrivenstrategythatempowerseachemployeeto,visualizeandutilizethedatatheyneedtostayalignedwiththe,businessobjectives.,VoiceofBusiness,VoiceofCustomer,VOC,Questions?,MoreInformation?,LetBIDrive,HowDoWeGetThereDRIVE,Innovate,with,Hadoop,“Atitscore,Hadoopisadistributeddatastore,whichprovidesaplatformforimplementing,powerfulparallelprocessingframeworksonit.,Thereliabilityofthisdatastorewhenitcomesto,storingmassivevolumesofdatacouplewithits,flexibilityrelatedtorunningmultipleprocessing,frameworksmakesitanidealchoiceasthehub,forallyourdata”,DRIVED,ISCOVER,R,EALIZE,I,NNOVATE,V,ERIFY,E,STABLISH,“Forthoseofyouwhoarenotfamiliar,withPig,itisaplatformforanalyzing,largedatasets.Itisbuilton,Hadoop,and,provideseaseofprogramming,optimizationopportunitiesand,extensibility.,Pig Latin,istherelational,data-flowlanguageandisoneofthe,coreaspectsofPig.”,AboutPigandPigLatin,TheApacheHivedatawarehouse,softwarefacilitatesqueryingand,managinglargedatasetsresidingin,distributedstorage.Hiveprovidesa,mechanismtoprojectstructureontothis,dataandquerythedatausingaSQL-like,languagecalledHiveQL.Atthesametime,thislanguagealsoallowstraditional,map/reduceprogrammerstoplugintheir,custommappersandreducerswhenitis,inconvenientorinefficienttoexpressthis,logicinHiveQL.”,AboutHive,Datawarehousing,incorporatesdatastores,andconceptual,logical,andphysicalmodels,tosupportbusinessgoalsandend-user,informationneeds.Adatawarehouse(DW)is,thefoundationforasuccessfulBIprogram.,CreatingaDWrequiresmappingdata,betweensourcesandtargets,thencapturing,thedetailsofthetransformationina,metadatarepository.Thedatawarehouse,providesasingle,comprehensivesourceof,currentandhistoricalinformation.,Datawarehousingtechniquesandtools,include,DWappliances,platforms,architectures,datastores,andspreadmarts;,databasearchitectures,structures,scalability,security,andservices;and,DWasaservice.,DataWarehousing,HadoopDistributedFileSystem(HDFS),.,Dataina,Hadoop,clusterisbrokendown,intosmallerpieces(calledblocks)and,distributedthroughoutthecluster.Inthis,way,themapandreducefunctionscan,beexecutedonsmallersubsetsofyour,largerdatasets,andthisprovidesthe,scalabilitythatisneededforbigdata,processing.,HDFS,DOMO,HadoopDistributedFileSystem(HDFS),.,Dataina,Hadoop,clusterisbrokendown,intosmallerpieces(calledblocks)and,distributedthroughoutthecluster.Inthis,way,themapandreducefunctionscan,beexecutedonsmallersubsetsofyour,largerdatasets,andthisprovidesthe,scalabilitythatisneededforbigdata,processing.,HDFS,Group,ofindependent,servers,(usuallyin,closeproximitytooneanother),interconnectedthrougha,dedicated,network,to,work,asonecentralized,data,processingresource,.Clustersarecapable,ofperformingmultiple,complex,instructionsbydistributing,workload,acrossallconnectedservers.Clustering,improves,the,systemsavailability,to,users,its,aggregate,performance,andoverall,tolerance,to,faults,andcomponent,failures,.Afailedserverisautomatically,shutdownanditsusersareswitched,instantlytotheotherservers.,Cluster,MongoDBandMapReduce,MongoDBisadocumentdatabasethatprovideshigh,performance,highavailability,andeasyscalability.,AMapReduceprogramiscomposedofa,Map(),procedure,thatperformsfilteringandsorting(such,assortingstudentsbyfirstnameintoqueues,one,queueforeachname)anda,Reduce(),procedure,thatperformsasummaryoperation(suchas,countingthenumberofstudentsineachqueue,yieldingnamefrequencies).,TheMapReduceSystem(alsocalled,infrastructureorframework)orchestratesthe,processingby,marshalling,thedistributedservers,runningthevarioustasksinparallel,managingall,communicationsanddatatransfersbetweenthe,variouspartsofthesystem,andprovidingfor,redundancy,andfaulttolerance.,演,讲,讲,完,完,毕,毕,，,，,谢,谢,谢,谢,观,观,看,看,！,！,