Data Warehouses vs Data Marts

DATA WAREHOUSES VS DATA MARTS 1
DATA WAREHOUSES vs DATA MARTS.
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DATA WAREHOUSES VS DATA MARTS 2
Data mart vs. data warehouse
Data mart is defined as a subject of the data warehouse. It is also known as a storehouse
that is meant to serve certain community as well as to meet the needs of a certain group of users.
On the other hand, Data warehousing is defined as a big central storing place for all the
companies’ data. The data kept in this repository is usually historical and stored from a historical
point of view ((Malhotra, 2015).Unlike data mart, data warehouse is a collection that is separate
from the operational systems. The data in this place is used for decision-making purposes.
Summary of the differences.
DATA WAREHOUSE DATA MART
Holds multiple objects. Only one subject area can be accommodated such as
finance.
It works on the integrated data. Is focus is on integrated from a given subject area or
even a set of source systems.
Des not use dimensional approach Finally, the system is built with the focus of a
dimensional model and uses the start scheme.
The detailed stored in the data warehouse is more
detailed.
Not so much detailed.