Value Architecture: Puits de données comparé aux Data Lake, ODS, MDM, ... Le Puits de Données est une figure de style (patern) d'Architecture.
Cette figure de style est décrite sur ce site. On trouve aussi une présentation sur Slideshare et une note de principes. Des questions fréquentes concernent les distinctions à faire avec d'autres figures de style : Data LakeODSMDM (voir ici) En ce qui concerne les Data Lake et ODS les différences figurent ci-après : Puits et Data Lake Malgré une apparente proximité, il y a une forte opposition entre ces 2 figures : Par vocation un puits concentre « peu » (au sens sémantique) de données, très structurées, et avec la contrainte d’être au niveau de grain le plus fin.
Le Data Lake à l’opposé stocke des données en vrac, non mises en qualité, non modélisées (donc non structurées), le modèle étant reconstitué à la volée. En ce qui concerne le Data Lake, il y aura des évolutions et certains experts du Data Lake disent d’ailleurs qu’il vaut mieux modéliser (et les mettre dans le Data Lake) les données les plus utiles et récurrentes.
What is Master Data Management? Before going to the Master Data Management topic in detail, i think we should make a step back and try to understand how the concept of Master Data appeared, and where does it fit inside a company IT infrastructure.
Since I’ve always liked a good story, let’s think a bit to the following one: · There was once a small company, driven by a few enthusiastic people who really believe that can make a great product which can really have an impact. At the beginning, the IT system for the company was very simple, and covering just their basic needs, and allowed them to move fast on the market, since it had to cover just a few scenarios. Since money was a scares commodity at the beginning, part of the IT tools used were freeware products, part of them bought and part of them build by the very people that put the company together. It's that stage where everyone is doing everything, in order to kick-start the whole business.
. · The company has grown to become one of the emerging names on the market. Master Data Management: France. MDMAllianceGROUP - Home. Master data management. In business, master data management (MDM) comprises the processes, governance, policies, standards and tools that consistently define and manage the critical data of an organization to provide a single point of reference.[1] The data that is mastered may include: master data - the business objects for transactions, and the dimensions for analysistransactional data - supports applicationsanalytical data - supports decision making [2] In computing, an MDM tool can be used to support master data management by removing duplicates, standardizing data (mass maintaining), and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data.
Master data are the products, accounts and parties for which the business transactions are completed. The term recalls the concept of a master file from an earlier computing era. Issues[edit] Solutions[edit] See also[edit] References[edit] External links[edit] Master Data Management.