new trends data warehousing and olap数据仓库新趋势.pdf

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DecisionSupportSystems45(2008)13

Editorial

NewTrendsinDataWarehousingandOLAP

DataWarehouses(DWs)andOnlineAnalyticapproachfordatawarehouseswithdocuments.Inthe

Processing(OLAP)technologiesareinfullswinginfollowing,wesummarizetheseselectedpapers:

industryasmajorbusinessintelligencetechnologies.

ManybusinessintelligenceapplicationscurrentlyrunatThefirstpaper,“GRAnD:AGoal-OrientedApproach

companiesnotonlydemandmorecapacity,butalsonewtoRequirementAnalysisinDataWarehouses”,byPaolo

methods,models,techniquesorarchitecturestosatisfyGiorgini,StefanoRizziandMaddalenaGarzetti,argues

thesenewneeds.SomeofthehottopicsinDWsandthatasignificantpercentageofdatawarehousesfailto

OLAPinclude:amethodologycoveringdesignsteps

duringaDWlifecycle,activeDWs,distributedDWs,

advancedOLAPforbusinessintelligence,webware-requirementanalysisistypicallyoverlookedinreal-world

houses,newvisualizationmethods,DWsfornewprojects.Inthispaper,theauthorsproposeGRAnD,a

applications(suchasXMLdocuments),streamdata,goal-orientedmethodologytorequirementanalysisfor

spatialorGISdata,orbiomedicaldata.Moreover,theredatawarehousesbasedontheTroposmethodology.

areotheraspectsdevelopedinothersoftwareareassuchAuthorsincorporatetwodifferentperspectivesfor

assecurityorquality,whichstillremainuncoveredby