ABSTRACT:
Organisations are today suffering from a
malaise of data overflow. The developments in the transaction processing
technology has given rise to a situation where the amount and rate of data
capture is very high, but the processing of this data into information that can
be utilised for decision making, is not developing at the same pace. Data
warehousing and data mining (both data & text) provide a technology that
enables the decision-maker in the corporate sector/govt. to process this huge
amount of data in a reasonable amount of time, to extract
intelligence/knowledge in a near real time.
The data
warehouse allows the storage of data in a format that facilitates its access,
but if the tools for deriving information and/or knowledge and presenting them
in a format that is useful for decision making are not provided the whole
rationale for the existence of the warehouse disappears. Various technologies
for extracting new insight from the data warehouse have come up which we
classify loosely as "Data Mining Techniques".
Our paper focuses on the need for information repositories and
discovery of knowledge and thence the overview of, the so hyped, Data
Warehousing and Data Mining.
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