The data warehouse is a storage repository for data that is used in business intelligence(BI) software. The end result of the ETL process is a data repository that is highly optimized for analysis and querying. Data warehouses tend to hold a great deal of historical information and tend to have large storage requirements. Therefore, they are usually stored in enterprise database software (such as Microsoft SQL Server) that allows for optimal use of the server hardware.
The data warehouse can be the primary repository that communicates with BI tools in the
presentation layer or it can be used as a staging area for further data transformations. For example, from our data warehouse, we could create a set of Analysis Services cubes for multidimensional analysis or create secondary smaller data marts for reporting or querying.
The data warehouse can be the primary repository that communicates with BI tools in the
presentation layer or it can be used as a staging area for further data transformations. For example, from our data warehouse, we could create a set of Analysis Services cubes for multidimensional analysis or create secondary smaller data marts for reporting or querying.