Hana Mallek, Faïza Ghozzi, F. Gargouri
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引用次数: 10
Towards Extract-Transform-Load Operations in a Big Data context
BigDataemergedafterabigexplosionofdatafromtheWeb2.0,digitalsensors,andsocialmedia applications such as Facebook, Twitter, etc. In this constant growth of data, many domains are influenced, especially thedecisional support systemdomain,where the integrationof processes shouldbeadaptedtosupportthishugeamountofdatatoimproveanalysisgoals.Thebasicpurpose ofthisresearcharticleistoadaptextract-transform-loadprocesseswithBigDatatechnologies,in order tosupportnotonlythisevolutionofdatabutalsotheknowledgediscovery.Inthisarticle, anewapproachcalledBigDimensionalETL(BigDimETL)issuggestedtodealwithETLbasic operationsandtakeintoaccountthemultidimensionalstructure.Inordertoacceleratedatahandling, theMapReduceparadigmisusedtoenhancedatawarehousingcapabilitiesandHBaseasadistributed storagemechanism.ExperimentalresultsconfirmthattheETLoperationperformswellespecially withadaptedoperations. KEywORDS Big Data, ETL, Hbase, Map Reduce, Multidimensional Structure
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