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Essay / Research Paper Abstract
This 12-page paper discusses the mechanics needed for forming a data warehouse as a type of business. Topics discussed include trends in this area, overview of personnel and organizational structure. Bibliography lists 5 sources.
Page Count:
12 pages (~225 words per page)
File: D0_MTdatwar.rtf
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Unformatted sample text from the term paper:
a data warehouse. When the term "data warehouse" comes to mind, the first thing that someone might envision is a huge
warehouse, appropriately enough, filled with data. But many of them can be quite small. Data warehousing, in its most basic form, can
be defined as "tools, technologies and methodologies that allow for the construction, usage, management and maintenance of the hardware and software used for a data warehouse, as well as the
actual data itself (Reed, 2005). Coined by Bill Inmon back in 1990, a data warehouse consists of a subject-oriented, integrated, time-variant and
non-volatile collection of data that supports the decision-making process of management (Reed, 2005). Subject orientation is information/data that involves a companys ongoing
operation, while integrated data is that gathered into the warehouse from many sources, and combined into a "coherent whole" (Reed, 2005). The
data is "time variant" when it is stamped, or identified, with a particular time period -- and its non-volatile because its stored in a particular warehouse (Reed, 2005). In a
warehouse, data can be added, but its never removed -- and as a result, management ends up with both a consisted and consistently updated picture of a particular business (Reed,
2005). This is not to say, however, that such warehouses cant be volatile -- while information cannot be moved, only a certain
number of periods of history can be kept in specific warehouses (Reed, 2005). This is managed by "rolling off" the oldest information off the database, and adding the newest as
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