What Are The Differences Between Data Mining And Data Warehousing ?

1.	What Are The Differences Between Data Mining And Data Warehousing ?
Answer» Data mining is BASED on pattern recognition logic which trend against LARGER data pool. Data warehouse extracts and stores data for future references. Data mining is a range of business process while data warehouse is LIKE typical software package which can process some data. Data mining is used in various marketing programs while data warehousing PROVIDE the data for DESIGNING the logic of data mining. Data warehouse is designed to be a software product but data mining is a logic design based on the results provided by data warehouse. The entire business process is based on the query of data warehousing.

Answer»

Data mining is BASED on pattern recognition logic which trend against LARGER data pool.
Data warehouse extracts and stores data for future references.
Data mining is a range of business process while data warehouse is LIKE typical software package which can process some data.
Data mining is used in various marketing programs while data warehousing PROVIDE the data for DESIGNING the logic of data mining.
Data warehouse is designed to be a software product but data mining is a logic design based on the results provided by data warehouse.
The entire business process is based on the query of data warehousing.

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