TheDefinitivePlain-EnglishGuidetoBigDataforBusinessandTechnologyProfessionalsBigDataFundamentalsprovidesapragmatic,no-nonsenseintroductiontoBigData.Best-sellingITauthorThomasErlandhisteamclearlyexplainkeyBigDataconcepts,theoryandterminology,aswellasfundamentaltechnologiesandtechniques.Allcoverageissupportedwithcasestudyexamplesandnumeroussimplediagrams.TheauthorsbeginbyexplaininghowBigDatacanpropelanorganizationforwardbysolvingaspectrumofpreviouslyintractablebusinessproblems.Next,theydemystifykeyanalysistechniquesandtechnologiesandshowhowaBigDatasolutionenvironmentcanbebuiltandintegratedtooffercompetitiveadvantages.DiscoveringBigData’sfundamentalconceptsandwhatmakesitdifferentfrompreviousformsofdataanalysisanddatascienceUnderstandingthebusinessmotivationsanddriversbehindBigDataadoption,fromoperationalimprovementsthroughinnovationPlanningstrategic,business-drivenBigDatainitiativesAddressingconsiderationssuchasdatamanagement,governance,andsecurityRecognizingthe5“V”characteristicsofdatasetsinBigDataenvironments:volume,velocity,variety,veracity,andvalueClarifyingBigData’srelationshipswithOLTP,OLAP,ETL,datawarehouses,anddatamartsWorkingwithBigDatainstructured,unstructured,semi-structured,andmetadataformatsIncreasingvaluebyintegratingBigDataresourceswithcorporateperformancemonitoringUnderstandinghowBigDataleveragesdistributedandparallelprocessingUsingNoSQLandothertechnologiestomeetBigData’sdistinctdataprocessingrequirementsLeveragingstatisticalapproachesofquantitativeandqualitativeanalysisApplyingcomputationalanalysismethods,includingmachinelearning
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