Before putting a data warehouse into production, the data warehousing project team will decide whether or not to create a prototype.  Data warehousing expertise is of special concern to the project team before they can begin rolling out the enterprise-wide data warehouse. You already know my innermost thoughts. Explain your thoughts in further depth.

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Fundamentals of Datawarehouse

A data warehouse is a data repository which is used to store large quantities of historical data that are mostly used for creating reports that help businesses to identify their weaknesses and strengths. For example, demographics data about people of a region can help businesses identify the needs and preferences of the region’s population. A data warehouse acts as a central storage for storing data that comes from one or more heterogenous sources. It also consists of data which can be old and of historical value. One of the most important applications of this type of system is that it is used for supporting business intelligence and data analytics applications.