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Data Warehouse Vs. Data Mart

written 7.8 years ago by aartisahitya • 170

modified 4.8 years ago by prashantsaini • 0

data warehouse and mining

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written 7.8 years ago by aartisahitya • 170

Datamart	Data Warehouse
1.Data mart is usually sponsored at the department level and developed with a specific issue or subject in mind, a data mart is a data warehouse with a focused objective.	1.Data warehouse is a “Subject-Oriented, Integrated, Time-Variant, Nonvolatile collection of data in support of decision making”.
2.A data mart is used on a business division/ department level.	2.A data warehouse is used on an enterprise level.
3.A Data Mart is a subset of data from a Data Warehouse. Data Marts are built for specific user groups.	3.A Data Warehouse is simply an integrated consolidation of data from a variety of sources that is specially designed to support strategic and tactical decision making.
4.By providing decision makers with only a subset of data from the Data Warehouse, Privacy, Performance and Clarity Objectives can be attained.	4.The main objective of Data Warehouse is to provide an integrated environment and coherent picture of the business at a point in time.
Often holds only one subject area- for example, Finance, or Sales	Holds multiple subject areas
May hold more summarised data (although many hold full detail)	Holds very detailed information
Concentrates on integrating information from a given subject area or set of source systems	Works to integrate all data sources
Is built focused on a dimensional model using a star schema.	Does not necessarily use a dimensional model but feeds dimensional models.

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