data-architecture-a

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These cases represent merely the most obvious tip of the iceberg for finding and using
nonrepetitive unstructured information.


Repetitive and Nonrepetitive Unstructured Information


Fig. 4.4.4 illustrates the visceral differences between the repetitive and the nonrepetitive
unstructured environments.


Fig. 4.4.4 Representations of repetitive and nonrepetitive data.

As has been discussed in conversations on the “great divide,” there are many differences
between the repetitive and the nonrepetitive environments. But perhaps the most
poignant, most relevant difference between the two environments is that of the ease with
which analytic processing can be done.


Fig. 4.4.5 shows that analytic processing is quite easy to do when it comes to working
with repetitive unstructured data. But when it comes to doing analysis on nonrepetitive
unstructured data, analysis is awkward and difficult to do.


Chapter 4.4: Unstructured Data
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