Difference between Data warehouse and data mart.
Data Warehouse
- A Data Warehouse is a vast repository of information collected from various organizations or departments within a corporation.
- It may hold multiple subject areas.
- It holds very detailed information.
- Works to integrate all data sources
- In data warehousing, a Fact constellation is used.
- It is a Centralized System.
- Data Warehousing is data-oriented.
Data Mart
- A data mart is an only subtype of a Data Warehouses. It is architecture to meet the requirement of a specific user group.
- It holds only one subject area. For example, Finance or Sales.
- It may hold more summarized data.
- It concentrates on integrating data from a given subject area or set of source systems.
- In Data Mart, Star Schema and Snowflake Schema are used.
- It is a Decentralized System.
- Data Marts is project-oriented.
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