Abstract :
Data entering the data
warehouse comes from operational environment in almost every case.Data
warehousing provides architectures and tools for business executives to
syste-matically organize ,understand ,and use their data to make stragetic
decisions.A large number of
organizations have found that data warehouse systems are valuable tools
in today’s competive,fast-evolving world. In the last several years ,many firms
have spent millions of dollars in building enterprise wide data warehouses.
Many people feel that with competition mounting in every industry ,data warehousing is the latest must
have marketing weapon –a way to keep customers by learning more about their
needs.
Data warehousing is a
more formalised methodology of these techniques. For example, many sales
analysis systems and executive information systems (EIS) get their data from summary files
rather then operational transaction files. The method of using summary files
instead of operational data is in essence what data warehousing is all about. Some
data warehousing tools neglect the importance of modelling and building a datawarehouse
and focus on the storage and retrieval of data only. These tools might have strong
analytical facilities, but lack the qualities you need to build and maintain a
corporatewide data warehouse. These tools belong on the PC rather than the
host.Your corporate wide (or division wide) data warehouse needs to be
scalable, secure, openand, above all, suitable for publication.
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