What is data mart in data warehousing?
Hereof, what is data mart in data warehouse with example?
A data mart is a subset of a data warehouse oriented to a specific business line. Data marts contain repositories of summarized data collected for analysis on a specific section or unit within an organization, for example, the sales department.
Beside above, what is the difference between a data warehouse and a data mart? Data Warehouse is a large repository of data collected from different sources whereas Data Mart is only subtype of a data warehouse. Data Warehouse is focused on all departments in an organization whereas Data Mart focuses on a specific group.
Considering this, what is the role of data mart in data warehousing?
A data mart is focused on a single functional area of an organization and contains a subset of data stored in a Data Warehouse. Data Mart helps to enhance user's response time due to a reduction in the volume of data.
What is data mart and its types?
Three basic types of data marts are dependent, independent, and hybrid. Dependent data marts draw data from a central data warehouse that has already been created. Independent data marts, in contrast, are standalone systems built by drawing data directly from operational or external sources of data or both.