What are the different types of data marts in the context of data ware

1.	What are the different types of data marts in the context of data warehousing?
Answer» Following are the different types of data mart in data warehousing: 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. 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. 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.

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

Answer»

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

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.
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.
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.