让商务智能成为主导

LetBIDriveLetBIDriveBIAvisionforaBIDrivenWorldIn2020theworldwillgenerate50timestheamountofdataasin2011.And75timesthenumberofinformationsources(IDC,2011).LetBIDriveBIAvisionforaBIDrivenWorldProcessimprovementtoolsfilledthegapinmovingtotherightBIStrategy.LetBIDriveBIAvisionforaBIDrivenWorldProcessimprovementtoolsfilledthegapinmovingtotherightBIStrategy.LetBIDriveBIAvisionforaBIDrivenWorldWestrivetodevelopBIstrategiesthatHarnessesthepowerofourdatatodriveourbusinesswiththetouchoffingerandbrilliantanalysis.CrossMobile“PentahoDRIVEDISCOVERREALIZEINNOVATEVERIFYESTABLISHMongoDBusefulinroutingtimesensitiveinformationthatcanbedistributedacrossservers“BeansandLeaves“TableauClouderaSAPGoogleAnalyticsDRIVEDISCOVERREALIZEINNOVATEVERIFYESTABLISHCrossMobile“PentahoandHadoopOracleDataWarehouseCrossMobile“PentahoDRIVEDISCOVERREALIZEINNOVATEVERIFYESTABLISHSAPDatawarehouseSolutionsLeanSixSigmaToolsandTechniquesLeanSixSigmaTool(s)LSSBIBusinessIntelligenceTool(s)BusinessIntelligenceToolsandTechniquesLSSandBIcomestogetherbecausetheadventofBigDatatoolscreatesanopportunitytocontroltheflowofdataforbetterinsight.Canthesolutioneasilywithstandchange?BusinessIntelligenceToolsandTechniquesBusinessIntelligenceisawideterm,weareusingittodescribeastrategythatbringstogethertherighttoolstopushandpullyourdatathroughstreamlinedprocessesandletthebusinessstayalignedwiththeneedsofthecustomer.Wearealsopushingadashboarddrivenstrategythatempowerseachemployeetovisualizeandutilizethedatatheyneedtostayalignedwiththebusinessobjectives.VoiceofBusinessVoiceofCustomerVOCQuestions?MoreInformation?@LetBIDriveHowDoWeGetThere–DRIVEInnovatewithHadoop“Atitscore,Hadoopisadistributeddatastorewhichprovidesaplatformforimplementingpowerfulparallelprocessingframeworksonit.Thereliabilityofthisdatastorewhenitcomestostoringmassivevolumesofdatacouplewithitsflexibilityrelatedtorunningmultipleprocessingframeworksmakesitanidealchoiceasthehubforallyourdata”DRIVEDISCOVERREALIZEINNOVATEVERIFYESTABLISH“ForthoseofyouwhoarenotfamiliarwithPig,itisaplatformforanalyzinglargedatasets.ItisbuiltonHadoopandprovideseaseofprogramming,optimizationopportunitiesandextensibility.PigLatinistherelationaldata-flowlanguageandisoneofthecoreaspectsofPig.”AboutPigandPigLatinTheApacheHive™datawarehousesoftwarefacilitatesqueryingandmanaginglargedatasetsresidingindistributedstorage.HiveprovidesamechanismtoprojectstructureontothisdataandquerythedatausingaSQL-likelanguagecalledHiveQL.Atthesametimethislanguagealsoallowstraditionalmap/reduceprogrammerstoplugintheircustommappersandreducerswhenitisinconvenientorinefficienttoexpressthislogicinHiveQL.”AboutHiveDatawarehousingincorporatesdatastoresandconceptual,logical,andphysicalmodelstosupportbusinessgoalsandend-userinformationneeds.Adatawarehouse(DW)isthefoundationforasuccessfulBIprogram.CreatingaDWrequiresmappingdatabetweensourcesandtargets,thencapturingthedetailsofthetransformationinametadatarepository.Thedatawarehouseprovidesasingle,comprehensivesourceofcurrentandhistoricalinformation.DatawarehousingtechniquesandtoolsincludeDWappliances,platforms,architectures,datastores,andspreadmarts;databasearchitectures,structures,scalability,security,andservices;andDWasaservice.DataWarehousingHadoopDistributedFileSystem(HDFS).DatainaHadoopclusterisbrokendownintosmallerpieces(calledblocks)anddistributedthroughoutthecluster.Inthisway,themapandreducefunctionscanbeexecutedonsmallersubsetsofyourlargerdatasets,andthisprovidesthescalabilitythatisneededforbigdataprocessing.HDFSDOMOHadoopDistributedFileSystem(HDFS).DatainaHadoopclusterisbrokendownintosmallerpieces(calledblocks)anddistributedthroughoutthecluster.Inthisway,themapandreducefunctionscanbeexecutedonsmallersubsetsofyourlargerdatasets,andthisprovidesthescalabilitythatisneededforbigdataprocessing.HDFSGroupofindependentservers(usuallyincloseproximitytooneanother)interconnectedthroughadedicatednetworktoworkasonecentralizeddataprocessingresource.Clustersarecapableofperformingmultiplecomplexinstructionsbydistributingworkloadacrossallconnectedservers.Clusteringimprovesthesystem'savailabilitytousers,itsaggregateperformance,andoveralltolerancetofaultsandcomponentfailures.Afailedserverisautomaticallyshutdownanditsusersareswitchedinstantlytotheotherservers.ClusterMongoDBandMapReduceMongoDBisadocumentdatabasethatprovideshighperformance,highavailability,andeasyscalability.AMapReduceprogramiscomposedofaMap()procedurethatperformsfilteringandsorting(suchassortingstudentsbyfirstnameintoqueues,onequeueforeachname)andaReduce()procedurethatperformsasummaryoperation(suchascountingthenumberofstudentsineachqueue,yieldingnamefrequencies).TheMapReduceSystem(alsocalledinfrastructureorframework)orchestratestheprocessingbymarshallingthedistributedservers,runningthevarioustasksinparallel,managingallcommunicationsanddatatransfersbetweenthevariouspartsofthesystem,andprovidingforredundancyandfaulttolerance.http://www.mongodb.org/about/introduction/