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DATA VAULT MODELING GUIDE Introductory Guide to Data Vault Modeling GENESES ACADEMY, LLC 2012 Authored by: Hans Culture DATA VAULT MODELING GUIDE Introductory Guide to Data Vault Modeling F o award

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We're gonna talk about big data modelingtoday and the really funny thing aboutthat is there's no such a thing as bigdata modeling right because there we gothat's a better one because we're doingschema on on read' we don't have anymodels right so right no nobody wants toraise their hand I thought the bigadvantage of Big Data was you didn'thave to have models no modeling rightdata modelers dead seriously come onyou've never heard this yeah so so thereis no modeling in Big Data so we can allgo home nowright oh okay doesn't work that waymaybe there is something called modelingfor Big Data maybe there is there'ssomething about context we'll figure itout we're going to jump through someslides then we're going to do a littleexercise so if you're sitting at a tableyou'll already have a nice place to workif you're not maybe move up and joinsome of the guys at the table when theexercise starts and also there's two ofthese flip charts so I'm thinking we canhave small packs of wolves working ineach one of these five seven eightpeople could work in one of those thatprobably work out okay all rightimportant first slide welcome welcomebig data modeling we're gonna talk abouta couple topics today big data datamodeling big data modeling make sensethe thing is if you don't have time toget to the third point we'll just do thefirst two right no okay it's it's notdirectly after lunch so it can't be thatbad right session objectives componentsof big data structure and schemas toolsand architecture you've seen some ofthis so we'll go very fast through thatof courseright how many people have not been everto a big data presentation okayever you know big data presentation atall okay the five of you you're firedwhatever jobs had no it's not true no Ithink it's just because there's so muchof it in the last four or five yearsit's hard it's hard to to avoid it butwe're gonna cover that anyway just togive us a little recap of where we aredata modelling we're gonna talk ofcourse a little bit on the datawarehousing side that's that make sensebut data modeling as related to the thechallenges of integration in historywarehousing bi conceptual versusphysical and then a big data modellingand we'll talk a little bit about thisfocus on the meaning nothing liketaxonomy is build up everything liketaxonomy could be the case and then alsoa little bit of ensemble modelingtechniques and I'm sure how many peoplewent to heard or saw some datavault bynow during this yeah and prior to thatheard of it so pretty much that'sninety-three percent on a quickassessment there so there we gookay first thing is just big data so whyyou know we by the way just does beforeI start this does does anyone here wantto take the challenge of providing thedefinitive definition of Big Data billdoes do ityeahwith the who sensesokay so elaborate yeah okayso huge stay at a cheap hardware andit's unstructured right and then your Icouldn't hear you last one the Romancensus okay so you must what provide alldata or you do...

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