{"id":5289,"date":"2014-03-26T11:41:12","date_gmt":"2014-03-26T10:41:12","guid":{"rendered":"http:\/\/www.solucominsight.fr\/?p=5289"},"modified":"2015-01-21T09:52:03","modified_gmt":"2015-01-21T08:52:03","slug":"au-menu-du-big-data-3-formules-integrer-package-nuage","status":"publish","type":"post","link":"https:\/\/www.riskinsight-wavestone.com\/en\/2014\/03\/au-menu-du-big-data-3-formules-integrer-package-nuage\/","title":{"rendered":"Au menu du Big data, 3 formules : \u00e0 int\u00e9grer, packag\u00e9 ou dans le nuage"},"content":{"rendered":"

Dans un monde o\u00f9 les limites techniques du SI freinaient l\u2019extension du business, le Big data<\/em> promet de s\u2019en affranchir et d\u2019apporter plus de valeur au m\u00e9tier. De fait, il suscite un int\u00e9r\u00eat grandissant aupr\u00e8s de ces derniers mais aussi aupr\u00e8s des DSI ; qui commencent \u00e0 \u00e9tudier, exp\u00e9rimenter voire, pour les plus avanc\u00e9s, construire des offres Big data au sein de leurs syst\u00e8mes d\u2019information.<\/span><\/p>\n

N\u00e9anmoins, choisir l\u2019approche ad\u00e9quate et investir sur une ou des solutions reste une \u00e9tape complexe. Regardons de plus pr\u00e8s le menu, et observons les diff\u00e9rents types d\u2019offres aujourd\u2019hui disponibles et leur int\u00e9r\u00eat en fonction des usages.<\/p>\n

Le Big data<\/em> casse les limites traditionnelles\u00a0: tout est dans la puissance du nombre<\/h2>\n

Traditionnellement, les architectures techniques sont construites \u00e0 partir de serveurs \u00ab\u00a0standalone<\/a><\/i>\u00bb. \u00c0 gros besoins, gros serveurs. En d\u2019autres termes, plus le besoin de puissance ou de stockage est important, plus les serveurs utilis\u00e9s sont robustes. Mais, cette approche a une limite finie et ne permet pas de g\u00e9rer les tr\u00e8s grands ensembles de donn\u00e9es.<\/p>\n

Avec le Big data<\/em> on change de paradigme\u00a0: le concept cl\u00e9 des architectures Big data<\/em> est la distribution\u00a0! On distribue les donn\u00e9es et les traitements sur un nombre virtuellement infini de ressources. On exploite la puissance du nombre<\/i><\/b>. C\u2019est la cl\u00e9 pour casser les limites traditionnelles et acc\u00e9der \u00e0 une capacit\u00e9 de stockage et de traitement sans limites. L\u2019ensemble des offres Big data<\/em> repose sur ce principe.<\/p>\n

Quelles sont les formules\u00a0au menu du jour ?<\/h2>\n

La 1\u00e8re<\/sup> formule s\u2019appuie sur le Best Of breed<\/a>. <\/b>\u00a0Il s\u2019agit ici de faire du Big data<\/em> en int\u00e9grant et capitalisant sur ses ressources IT. Comment\u00a0? L\u2019entreprise se construit un environnement distribu\u00e9 en agr\u00e9geant ses infrastructures conventionnelles via l\u2019int\u00e9gration d\u2019une distribution logicielle Big data<\/em> (de type Hadoop par exemple). N\u2019ayant pas d\u2019investissement mat\u00e9riel, le co\u00fbt d\u2019investissement pour ce type d\u2019offre reste raisonnable mais engage les entreprises \u00e0 monter en comp\u00e9tence pour concevoir et mettre en place la nouvelle plateforme. \u00a0Ce type de solution est principalement destin\u00e9 aux entreprises avec un besoin d\u2019\u00e9volutivit\u00e9 et d\u2019appropriation fort. Les banques d\u2019investissement en sont un excellent exemple par leur n\u00e9cessit\u00e9 d\u2019exp\u00e9rimentation permanente, qui les force \u00e0 innover pour r\u00e9pondre aux enjeux m\u00e9tiers.<\/p>\n

La seconde formule s\u2019appuie sur les offres d\u2019\u00ab\u00a0Appliance Big data<\/em>\u00bb<\/b> : le vendeur va proposer \u00e0 ses clients une infrastructure sur \u00e9tag\u00e8re o\u00f9 mat\u00e9riel et logiciels sont int\u00e9gr\u00e9s, pr\u00e9-configur\u00e9s et optimis\u00e9s. C\u2019est une bo\u00eete noire, mais l\u2019architecture interne s\u2019appuie sur la logique de distribution\u00a0: elle encapsule des dizaines de petits serveurs. Ce mod\u00e8le a le d\u00e9savantage d\u2019avoir un co\u00fbt d\u2019investissement \u00e9lev\u00e9 mais d\u00e9livre une efficacit\u00e9 op\u00e9rationnelle\u00a0imm\u00e9diate : il s\u2019adresse principalement aux entreprises qui recherchent cette efficacit\u00e9 et qui sont en capacit\u00e9 de cadrer leurs besoins avec le vendeur.<\/p>\n

La derni\u00e8re offre est l\u00e9gitimement le Cloud.<\/b> Pourquoi le Cloud\u00a0? Et bien parce qu\u2019il est le plus \u00e0 m\u00eame de mettre \u00e0 disposition des entreprises un nombre de ressources presque illimit\u00e9. On distingue deux offres\u00a0: celles de type \u00ab\u00a0IaaS\u00a0\u00bb<\/b> o\u00f9 l\u2019entreprise int\u00e9grera elle-m\u00eame \u00ab\u00a0sa distribution Big data\u00a0<\/em>\u00bb aux infrastructures lou\u00e9es dans le nuage. Mais, la tendance est plut\u00f4t au \u00ab\u00a0BDaaS\u00a0\u00bb<\/b> (Big data as a Service<\/em>)\u00a0: le nuage provisionne un environnement Big data<\/em> int\u00e9gr\u00e9, op\u00e9rationnel et \u00e9lastique. L\u2019int\u00e9r\u00eat de ces offres Cloud<\/i> est le co\u00fbt (\u00e0 l\u2019usage) et la rapidit\u00e9 de mise en place, qui en fait une cible parfaite pour des usages de type POC afin de tester la valeur du Big data<\/em> pour l\u2019entreprise. Pour les prototypes op\u00e9rationnels, des questions autour de la s\u00e9curit\u00e9 et des donn\u00e9es peuvent se poser et les rendre moins attrayantes.<\/p>\n

Au final, les socles d\u2019ex\u00e9cution Big data<\/em> sont bien l\u00e0\u00a0! Le choix de l\u2019un d\u2019entre eux n\u00e9cessite dans tous les cas une phase d\u2019analyse des besoins et des enjeux afin de trouver l\u2019optimum \u00e9conomique au regard des usages.<\/p>\n

 <\/p>\n

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Dans un monde o\u00f9 les limites techniques du SI freinaient l\u2019extension du business, le Big data promet de s\u2019en affranchir et d\u2019apporter plus de valeur au m\u00e9tier. De fait, il suscite un int\u00e9r\u00eat grandissant aupr\u00e8s de ces derniers mais aussi…<\/p>\n","protected":false},"author":158,"featured_media":6117,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"page-templates\/tmpl-one.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[35],"tags":[1578,1579,189,44],"coauthors":[1060],"class_list":["post-5289","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-strategie-projets-it","tag-bdaas","tag-best-of-breed","tag-big-data","tag-cloud-computing"],"acf":[],"yoast_head":"\nAu menu du Big data, 3 formules : \u00e0 int\u00e9grer, packag\u00e9 ou dans le nuage - RiskInsight<\/title>\n<meta name=\"description\" content=\"Dans un monde o\u00f9 les limites techniques du SI freinaient l\u2019extension du business, le Big data promet de s\u2019en affranchir et d\u2019apporter plus de valeur au m\u00e9tier. 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