“…Astechnologyadvancemententerprisedatawarehouseisnotsuitablefordatastorageforcurrent marketdemand.Enterprisedatawarehouseworksontheconceptofschema-on-writearchitecture,to getdataindatawarehouseanextraction,transformation,andloading(ETL)processisrequired (Cha, Park,Kim,Pan,&Shin,2018;Khine&Wang,2018).Withthisarchitecture,organizationdesigna datamodelandprepareananalyticplanbeforeloadingdata.Inotherwords,organizationmustknow instarting,beforeloadingdata,howtheyareplanningtousethatdata,andthisisverylimiting.Big dataanalyticswantdatastoragewhoworksonschema-on-readconceptinwhichdataisstoredin rawformatasdatageneratedorinotherwords,thereisnoneedtoprepareananalyticplanbefore loadingdata,andnoneedtoknowaheadoftimehowtheyplantousethatdata. EnterprisedatawarehousestoredatathathasbeenmodeledorstructuredbutBigDataanalyticsin themarketneedstoragewhostorerawdataandstoreallkindofdatasuchasstructured,unstructured, semi-structuredandquasi-structureddataatoneplace.Tofulfillmarketdemandresearchers,work onnewdatarepositorysystemforBigDatastorageknownasdatalake.Theideaofdatalakeis to enhance enterprise data warehouse environment (Mrozek, Dabek, & Małysiak-Mrozek, 2019;Nogueira,Romdhane,&Darmont,2018).Thedatalakeisdefinedasadatalandingareafortheraw datafrommanyandalwaysincreasesnumberofdatasourceinorganization.Datafromdatalakecan betransformedanddistributedtothedownstreamsystemastheyrequired.Nowit'sclearthatdata lakesupportsBigDatainitiatesanddatalakeapproachcanreducedatasilos (Sawadogo,Scholly, Favre,&Ferey,2019;Shepherd,Kesa,Cooper,Onema,&Kovacs,2018;Singh,2019).Thedatalake istherequirementoftheindustryfordatastoragebuttherearesomeconfusionandquestionwhich mustbeansweredaboutdatalake.Forexample,howtodesign&deploydatalake?Howtogovern andsecuredatalake?Whatkindofdatathatcanbemanagedindatalake?Whydoorganizations needdatalake?Theobjectiveofthissurveypaperistoreducetheconfusionandaddressingtheabove mentionquestionwiththehelpofdatalakearchitecture.…”