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Data warehousing is the process of constructing and using a data warehouse. A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured or ad hoc queries, and decision making. Data warehousing involves data cleaning, data integration, and data consolidations.

An operational database undergoes frequent changes on a daily basis on account of the transactions that take place. Suppose a business executive wants to analyze previous feedback on any data such as a product, a supplier, or any consumer data, then the executive will have no data available to analyze because the previous data has been updated due to transactions.

A data warehouses provides us generalized and consolidated data in multidimensional view. Along with generalized and consolidated view of data, a data warehouses also provides us Online Analytical Processing (OLAP) tools.

Important Points you can learn and get huge Explanation are :

Data Warehouse

Data Warehouse Terminologies

Data Warehouse Process

System Processes

Architecture

Online Analytical Processing

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