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Differentiate between Data Mining and Data warehousing

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Data mining - Differentiate between Data Mining and Data warehousing - March 08, 2009 at 14:00 PM by Rajmeet Ghai

Differentiate between Data Mining and Data warehousing. 

Data warehousing is merely extracting data from different sources, cleaning the data and storing it in the warehouse. Where as data mining aims to examine or explore the data using queries. These queries can be fired on the data warehouse. Explore the data in data mining helps in reporting, planning strategies, finding meaningful patterns etc.

E.g. a data warehouse of a company stores all the relevant information of projects and employees. Using Data mining, one can use this data to generate different reports like profits generated etc. 

Data mining - Differentiate between Data Mining and Data warehousing - Jan 07, 2009 at 20:50 PM by Vidya Sagar

Differentiate between Data Mining and Data warehousing.

Data mining:

A process for comparing large amounts of data for finding patterns.
Intended for statistically inclined users.
Uses the logic of pattern recognition for identifying trends within a sample data set.

Data warehousing:

The ability to data that is the result of data mining that is to be used in future for database inquiries.
Intended for the users those are to be data experts who analyze by business dimensions directly
A process used for extracting and storing data which allows easier reporting

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