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The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling
book

The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling

by Paul Agnew, Len Silverston
January 2009
Beginner to intermediate
641 pages
26h 48m
English
Wiley
Content preview from The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling
Silverston c05.tex V2 - 11/21/2008 3:04am Page 187
CHAPTER
5
Types and Categories:
the Classification o f Data
Since the 1980s we have seen the amazing growth in data content around the
world, in part due to the World Wide Web being part of people’s lives. How
do we manage this data content, how do we begin to get our minds around
this myriad of information? Biologists have come to the rescue. They have
been using classifications, also known as taxonomies, since the days of Carl
Linnaeus,
1
the great Swedish naturalist.
It seems to be part of human nature to create classifications. It helps people
to organize complex sets of data into categories. Classifications give humans
a common vocabulary for grouping data sets. For example, most enterprises
need reports and analytics to manage their business. Senior management
needs to see revenue reports categorized by business line, and a technical
call center’s work gets driven by exception reports sorted by various types
of errors. Manufacturing companies need to report on available inventory by
product type and so on. People working in these enterprises need to analyze
the data in the reports, summarize the report information into classes, or drill
into the detail of a class to the underlying data. The categories in the reports
are a common vocabulary between departments and people in an enterprise.
This common language requires that various types of data can ...
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Publisher Resources

ISBN: 9780470178454Other