From the very basic understanding of data warehousing , it states that data warehousing is similar to a database or a data store in which the data from various sources of the enterprise is collected and organized in an efficient pattern so as to make the data available for further analysis and reporting systems.
In general a data warehouse is a subject-oriented, structured and time-variant solicitation of data that is processed for the support of an enterprises management's decisions , within which a data mart is a collection of data for a related group or for a particular department.
Lets further proceed towards the importance of data marts and its effective utilization in a data warehouse where Data marts when merged with each other or even if integrated with one another in an enterprise Data Warehousing, supports in a wider reach of corporate data.
A competent based model of a data mart or a shared service of a data mart helps in maximum installations that makes the administration of the Data Warehouse components easy. Designing a data mart according to a defined strategy helps it in meeting an immediate need.
When managed as a repository of collected data from various sources and departments, a Data mart can be designed further to knowledge transfer the available data to the resources of an enterprise on a need basis.
Emphasizing the data mart makes it in a way so as to meet particular needs of specific group of knowledge users in key situations like analyzing, presenting and manage the data content with an ease. Lets explore more on data mart and its consolidation in next article.