Data Warehouse Question
What are the different types of data marts in the context of data warehousing?

Question

Data Warehouse Question

What are the different types of data marts in the context of data warehousing?

Accepted Answer

Following are the different types of data mart in data warehousing :

1) Dependent Data Mart : A dependent data mart can be developed using data from operational, external, or both
sources. It enables the data of the source company to be accessed from a single data warehouse. All data is
centralized, which can aid in the development of further data marts.

2) Independent Data Mart : There is no need for a central data warehouse with this data mart. This is typically
established for smaller groups that exist within a company. It has no connection to Enterprise Data Warehouse or any
other data warehouse. Each piece of information is self-contained and can be used independently. The analysis can
also be carried out independently. It's critical to maintain a consistent and centralized data repository that numerous
users can access.

3) Hybrid Data Mart : A hybrid data mart is utilized when a data warehouse contains inputs from multiple sources, as
the name implies. When a user requires an ad hoc integration, this feature comes in handy. This solution can be
utilized if an organization requires various database environments and quick implementation. It necessitates the least
amount of data purification, and the data mart may accommodate huge storage structures. When smaller data-centric
applications are employed, a data mart is most effective.

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