An idea on Data Warehouse

 

Data Warehousing

Data warehousing can be defined as the process of data collection and storage from various sources and managing it to provide valuable business insights. It can also be referred to as electronic storage, where businesses store a large amount of data and information. It is a critical component of a business intelligence system that involves techniques for data analysis.

Data warehousing is a mixture of technology and components that enable a strategic usage of data. It is the electronic collection of a significant volume of information by an organization intended for query and analysis rather than for the processing of transactions. Data warehousing is a method of translating data into information and making it accessible to consumers in a timely way to make a difference.

Steps in Data Warehousing

The following steps are involved in the process of data warehousing:

4. Extraction of data – A large amount of data is gathered from various sources.
5. Cleaning of data – Once the data is compiled, it goes through a cleaning process. The data is scanned for errors, and any error found is either corrected or excluded.
6. Conversion of data – After being cleaned, the format is changed from the database to a warehouse format.
7. Storing in a warehouse – Once converted to the warehouse format, the data stored in a warehouse goes through processes such as consolidation and summarization to make it easier and more coordinated to use. As sources get updated over time, more data is added to the warehouse.
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