Data Warehousing

Data warehouse is the center of the architecture for information
systems in the 1990s. Data warehouse supports informational processing by
providing a solid platform of integrated, historical data from which to do
analysis. Data warehouse provides the facility for integration in a world
of unintegrated application systems. Data warehouse is achieved in an
evolutionary, step-at-a-time fashion. Data warehouse organizes and stores
the data needed for informational, analytical processing over a long
historical time perspective. There is indeed a world of promise in building
and maintaining a data warehouse.

This paper is a list of political issues that frequently come up in
data warehousing ...

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extended discussion of politics there is in the data
warehousing literature. As of the writing of this paper, to the best of my
knowledge, that situation still has not changed. This in unfortunate
because ambitious data warehousing projects are rife with political issues.

My working definition of a data warehousing "political issue" is a
situation where the equally valid and reasonable goals and interests of two
or more parties collide with each other. That is, these are situations
where there is great potential for conflict. Though these issues can appear
minor and even petty, they can account for a good portion of the mental
wear and tear experienced by data warehouse developers.

In this paper, I have classified the political issues into those
that are within the IS organization (IS to IS), those that are between IS
and the users (IS to Users), and those that are between users (User to

Finally, in this paper I try to list the political issues that are
peculiar to data ...

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development group can lessen knowledge
transfer and appreciation of how to make data warehouses industrial safe.

Who Should Administer The Data Warehousing Databases - The DBA Group Or The
Data Warehousing Development Group

The need to make data warehouse database structure changes can be
relatively frequent. Proliferating data marts, uncertainty about usage
patterns, and the "I'll know what I want when I see it" nature of data
warehouse development can necessitate table and index changes. Data
warehouse developers, concerned about losing the favor and interest of data
warehouse users, want changes made quickly and get quite frustrated being
put on the DBA backlog. On the other ...

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Data Warehousing. (2004, January 7). Retrieved December 18, 2018, from
"Data Warehousing.", 7 Jan. 2004. Web. 18 Dec. 2018. <>
"Data Warehousing." January 7, 2004. Accessed December 18, 2018.
"Data Warehousing." January 7, 2004. Accessed December 18, 2018.
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Added: 1/7/2004 11:56:37 AM
Category: Computers
Type: Premium Paper
Words: 2756
Pages: 11

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