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Originally published 16 March 2006
Data warehousing has been around since the mid 1980s. Early data warehouses were created as a means of satisfying the information needs of the marketing, sales, management and accounting departments. This meant that integrated, historical and granular data was needed. With a data warehouse foundation, the data was flexible and able to be reshaped by different internal organizations without losing its reconcilability or integrity.
Today, in corporations and organizations doing large scale information processing, data warehousing is a standard part of the information infrastructure.
As data warehouses matured, it became apparent that the original design of data warehouses did not address some commonly occurring situations. These include:
It is time to define the second generation of data warehousing. This article introduces DW2.0, an architecture for the next generation of data warehousing. (The full definition of this architecture is available. Click here for free access.)
Some of the new and interesting features of DW2.0 include:
Other important differences between first- and second-generation data warehouses as well as more information about the architecture for the next generation of data warehousing – DW2.0 – can be found at http://www.inmoncif.com/.
SOURCE: An Introduction to DW2.0
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